Year |
Citation |
Score |
2023 |
Andersson E, Rothenberg EV, Peterson C, Olariu V. T-cell commitment inheritance - an agent-based multi-scale model. Biorxiv : the Preprint Server For Biology. PMID 37905091 DOI: 10.1101/2023.10.18.562905 |
0.51 |
|
2021 |
Olariu V, Yui MA, Krupinski P, Zhou W, Deichmann J, Andersson E, Rothenberg EV, Peterson C. Multi-scale Dynamical Modeling of T Cell Development from an Early Thymic Progenitor State to Lineage Commitment. Cell Reports. 34: 108622. PMID 33440162 DOI: 10.1016/j.celrep.2020.108622 |
0.531 |
|
2019 |
Peterson C, Sommelius O, Söderberg B. Variational approach for minimizing Lennard-Jones energies. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 53: 1725-1731. PMID 9964432 DOI: 10.1103/Physreve.53.1725 |
0.305 |
|
2018 |
Wiesner K, Teles J, Hartnor M, Peterson C. Haematopoietic stem cells: entropic landscapes of differentiation. Interface Focus. 8: 20180040. PMID 30443337 DOI: 10.1098/Rsfs.2018.0040 |
0.348 |
|
2018 |
Olariu V, Peterson C. Kinetic models of hematopoietic differentiation. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. e1424. PMID 29660842 DOI: 10.1002/Wsbm.1424 |
0.339 |
|
2017 |
Olariu V, Manesso E, Peterson C. A deterministic method for estimating free energy genetic network landscapes with applications to cell commitment and reprogramming paths. Royal Society Open Science. 4: 160765. PMID 28680655 DOI: 10.1098/Rsos.160765 |
0.316 |
|
2016 |
Manesso E, Kueh HY, Freedman G, Rothenberg EV, Peterson C. Irreversibility of T-Cell Specification: Insights from Computational Modelling of a Minimal Network Architecture. Plos One. 11: e0161260. PMID 27551921 DOI: 10.1371/Journal.Pone.0161260 |
0.548 |
|
2016 |
Fogelmark K, Peterson C, Troein C. Selection Shapes Transcriptional Logic and Regulatory Specialization in Genetic Networks. Plos One. 11: e0150340. PMID 26927540 DOI: 10.1371/Journal.Pone.0150340 |
0.301 |
|
2015 |
Pina C, Teles J, Fugazza C, May G, Wang D, Guo Y, Soneji S, Brown J, Edén P, Ohlsson M, Peterson C, Enver T. Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis. Cell Reports. 11: 1503-10. PMID 26051941 DOI: 10.1016/J.Celrep.2015.05.016 |
0.347 |
|
2013 |
Teles J, Pina C, Edén P, Ohlsson M, Enver T, Peterson C. Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions. Plos Computational Biology. 9: e1003197. PMID 23990771 DOI: 10.1371/Journal.Pcbi.1003197 |
0.361 |
|
2013 |
Manesso E, Teles J, Bryder D, Peterson C. Dynamical modelling of haematopoiesis: an integrated view over the system in homeostasis and under perturbation. Journal of the Royal Society, Interface. 10: 20120817. PMID 23256190 DOI: 10.1098/Rsif.2012.0817 |
0.317 |
|
2013 |
Manesso E, Chickarmane V, Kueh HY, Rothenberg EV, Peterson C. Computational modelling of T-cell formation kinetics: output regulated by initial proliferation-linked deferral of developmental competence. Journal of the Royal Society, Interface. 10: 20120774. PMID 23152106 DOI: 10.1098/Rsif.2012.0774 |
0.54 |
|
2013 |
Pina C, Teles J, Fugazza C, Guo Y, May G, Peterson C, Enver T. Network Analysis Of Single Cells Identifies DDIT3 As a Nucleator Of Erythroid Signatures In Early Erythro-Myelopoiesis Blood. 122: 44-44. DOI: 10.1182/Blood.V122.21.44.44 |
0.349 |
|
2012 |
Krupinski P, Chickarmane V, Peterson C. Computational multiscale modeling of embryo development. Current Opinion in Genetics & Development. 22: 613-8. PMID 22959149 DOI: 10.1016/J.Gde.2012.08.006 |
0.323 |
|
2012 |
Chickarmane V, Olariu V, Peterson C. Probing the role of stochasticity in a model of the embryonic stem cell: heterogeneous gene expression and reprogramming efficiency. Bmc Systems Biology. 6: 98. PMID 22889237 DOI: 10.1186/1752-0509-6-98 |
0.309 |
|
2011 |
Krupinski P, Chickarmane V, Peterson C. Simulating the mammalian blastocyst--molecular and mechanical interactions pattern the embryo. Plos Computational Biology. 7: e1001128. PMID 21573197 DOI: 10.1371/Journal.Pcbi.1001128 |
0.343 |
|
2009 |
Colecchia F, Kottwitz D, Wagner M, Pfenninger CV, Thiel G, Tamm I, Peterson C, Nuber UA. Tissue-specific regulatory network extractor (TS-REX): a database and software resource for the tissue and cell type-specific investigation of transcription factor-gene networks. Nucleic Acids Research. 37: e82. PMID 19443447 DOI: 10.1093/Nar/Gkp311 |
0.304 |
|
2009 |
Chickarmane V, Enver T, Peterson C. Computational modeling of the hematopoietic erythroid-myeloid switch reveals insights into cooperativity, priming, and irreversibility. Plos Computational Biology. 5: e1000268. PMID 19165316 DOI: 10.1371/Journal.Pcbi.1000268 |
0.333 |
|
2006 |
Chickarmane V, Troein C, Nuber UA, Sauro HM, Peterson C. Transcriptional dynamics of the embryonic stem cell switch. Plos Computational Biology. 2: e123. PMID 16978048 DOI: 10.1371/Journal.Pcbi.0020123 |
0.32 |
|
2004 |
Kauffman S, Peterson C, Samuelsson B, Troein C. Genetic networks with canalyzing Boolean rules are always stable Proceedings of the National Academy of Sciences of the United States of America. 101: 17102-17107. PMID 15572453 DOI: 10.1073/Pnas.0407783101 |
0.33 |
|
2003 |
Kauffman S, Peterson C, Samuelssont B, Troein C. Random Boolean network models and the yeast transcriptional network Proceedings of the National Academy of Sciences of the United States of America. 100: 14796-14799. PMID 14657375 DOI: 10.1073/Pnas.2036429100 |
0.326 |
|
2003 |
Tsapogas P, Breslin T, Bilke S, Lagergren A, Månsson R, Liberg D, Peterson C, Sigvardsson M. RNA analysis of B cell lines arrested at defined stages of differentiation allows for an approximation of gene expression patterns during B cell development. Journal of Leukocyte Biology. 74: 102-10. PMID 12832448 DOI: 10.1189/Jlb.0103008 |
0.303 |
|
2003 |
Ringnér M, Peterson C. Microarray-based cancer diagnosis with artificial neural networks. Biotechniques. 30-5. PMID 12664682 DOI: 10.2144/Mar03Ringner |
0.308 |
|
2001 |
Khan J, Wei JS, Ringnér M, Saal LH, Ladanyi M, Westermann F, Berthold F, Schwab M, Antonescu CR, Peterson C, Meltzer PS. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks Nature Medicine. 7: 673-679. PMID 11385503 DOI: 10.1038/89044 |
0.301 |
|
2001 |
Ohlsson M, Peterson C, Söderberg B. An efficient mean field approach to the set covering problem European Journal of Operational Research. 133: 583-595. DOI: 10.1016/S0377-2217(00)00205-8 |
0.303 |
|
2000 |
Hakkinen J, Lagerholm M, Peterson C, Soderberg B. Local routing algorithms based on Potts neural networks Ieee Transactions On Neural Networks. 11: 970-977. PMID 18249823 DOI: 10.1109/72.857776 |
0.312 |
|
1998 |
Häkkinen J, Lagerholm M, Peterson C, Söderberg B. A Potts neuron approach to communication routing Neural Computation. 10: 1587-1599. PMID 9698359 DOI: 10.1162/089976698300017322 |
0.307 |
|
1995 |
Jönsson B, Peterson C, Söderberg B. Variational approach to the structure and thermodynamics of linear polyelectrolytes with Coulomb and screened Coulomb interactions The Journal of Physical Chemistry. 99: 1251-1266. DOI: 10.1021/J100004A027 |
0.322 |
|
1993 |
Ohlsson M, Peterson C, Söderberg B. Neural networks for optimization problems with inequality constraints: the knapsack problem Neural Computation. 5: 331-339. DOI: 10.1162/Neco.1993.5.2.331 |
0.307 |
|
1992 |
Gislén L, Peterson C, Söderberg B. Complex scheduling with Potts neural networks Neural Computation. 4: 805-831. DOI: 10.1162/Neco.1992.4.6.805 |
0.305 |
|
1992 |
Lönnblad L, Peterson C, Rögnvaldsson T. Mass reconstruction with a neural network Physics Letters B. 278: 181-186. DOI: 10.1016/0370-2693(92)90731-I |
0.323 |
|
1992 |
Lönnblad L, Peterson C, Rögnvalsson T. Pattern recognition in high energy physics with artificial neural networks - JETNET 2.0 Computer Physics Communications. 70: 167-182. DOI: 10.1016/0010-4655(92)90099-K |
0.3 |
|
1991 |
Gislén L, Peterson C, Söderberg B. “Teachers and classes” with neural networks International Journal of Neural Systems. 1: 167-176. DOI: 10.1142/S0129065789000074 |
0.305 |
|
1991 |
Peterson C. Mean Field Theory Neural Networks for Feature Recognition, Content Addressable Memory and Optimization Connection Science. 3: 3-33. DOI: 10.1080/09540099108946571 |
0.301 |
|
1991 |
Lönnblad L, Peterson C, Rögnvaldsson T. Using neural networks to identify jets Nuclear Physics. 349: 675-702. DOI: 10.1016/0550-3213(91)90392-B |
0.332 |
|
1990 |
Peterson C. Parallel Distributed Approaches to Combinatorial Optimization: Benchmark Studies on Traveling Salesman Problem Neural Computation. 2: 261-269. DOI: 10.1162/Neco.1990.2.3.261 |
0.306 |
|
1989 |
Peterson C, Söderberg B. A New Method For Mapping Optimization Problems Onto Neural Networks International Journal of Neural Systems. 1: 3-22. DOI: 10.1142/S0129065789000414 |
0.307 |
|
1979 |
Andersson B, Gustafson G, Peterson C. Quark Jet Fragmentation Physica Scripta. 19: 184-190. DOI: 10.1088/0031-8949/19/2/015 |
0.31 |
|
1979 |
Andersson B, Gustafson G, Peterson C. A semiclassical model for quark jet fragmentation European Physical Journal C. 1: 105-116. DOI: 10.1007/Bf01450386 |
0.313 |
|
Low-probability matches (unlikely to be authored by this person) |
1994 |
Pi H, Peterson C. Finding the embedding dimension and variable dependencies in time series Neural Computation. 6: 509-520. DOI: 10.1162/Neco.1994.6.3.509 |
0.3 |
|
1999 |
Irbäck A, Peterson C, Potthast F, Sandelin E. Design of sequences with good folding properties in coarse-grained protein models Structure. 7: 347-360. PMID 10368303 DOI: 10.1016/S0969-2126(99)80044-6 |
0.3 |
|
1987 |
Flensburg M, Peterson C. String model potentials and lattice gauge theories Nuclear Physics. 283: 141-164. DOI: 10.1016/0550-3213(87)90266-5 |
0.299 |
|
2001 |
Bilke S, Peterson C. Topological properties of citation and metabolic networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 64: 036106. PMID 11580393 DOI: 10.1103/Physreve.64.036106 |
0.299 |
|
2013 |
May G, Soneji S, Tipping AJ, Teles J, McGowan SJ, Wu M, Guo Y, Fugazza C, Brown J, Karlsson G, Pina C, Olariu V, Taylor S, Tenen DG, Peterson C, et al. Dynamic analysis of gene expression and genome-wide transcription factor binding during lineage specification of multipotent progenitors. Cell Stem Cell. 13: 754-68. PMID 24120743 DOI: 10.1016/J.Stem.2013.09.003 |
0.299 |
|
1994 |
Peterson C, Rögnvaldsson T, Lönnblad L. JETNET 3.0—A versatile artificial neural network package Computer Physics Communications. 81: 185-220. DOI: 10.1016/0010-4655(94)90120-1 |
0.299 |
|
1978 |
Andersson B, Gustafson G, Peterson C. A statistical model for quark fragmentation into mesons with emphasis on vector meson contributions Nuclear Physics. 135: 273-284. DOI: 10.1016/0550-3213(78)90132-3 |
0.297 |
|
1996 |
Hedén B, Ohlsson M, Holst H, Mjöman M, Rittner R, Pahlm O, Peterson C, Edenbrandt L. Detection of frequently overlooked electrocardiographic lead reversals using artificial neural networks American Journal of Cardiology. 78: 600-604. PMID 8806356 DOI: 10.1016/S0002-9149(96)00377-3 |
0.297 |
|
1982 |
Peterson C, Hansson TH, Johnson K. Loop diagrams in boxes Physical Review D. 26: 415-428. DOI: 10.1103/Physrevd.26.415 |
0.296 |
|
1999 |
Holst H, Ohlsson M, Peterson C, Edenbrandt L. A confident decision support system for interpreting electrocardiograms. Clinical Physiology. 19: 410-418. PMID 10516892 DOI: 10.1046/J.1365-2281.1999.00195.X |
0.296 |
|
1989 |
Peterson C. Track finding with neural networks Nuclear Inst. and Methods in Physics Research, A. 279: 537-545. DOI: 10.1016/0168-9002(89)91300-4 |
0.296 |
|
1997 |
Irbäck A, Peterson C, Potthast F. Identification of amino acid sequences with good folding properties in an off-lattice model Physical Review E. 55: 860-867. DOI: 10.1103/Physreve.55.860 |
0.295 |
|
1995 |
Hede´n B, Ohlsson M, Edenbrandt L, Rittner R, Pahlm O, Peterson C. Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal American Journal of Cardiology. 75: 929-933. PMID 7733003 DOI: 10.1016/S0002-9149(99)80689-4 |
0.295 |
|
2016 |
Anguita E, Gupta R, Olariu V, Valk PJ, Peterson C, Delwel R, Enver T. A somatic mutation of GFI1B identified in leukemia alters cell fate via A SPI1 (PU.1) centered genetic regulatory network. Developmental Biology. PMID 26851695 DOI: 10.1016/J.Ydbio.2016.02.002 |
0.295 |
|
2008 |
Chickarmane V, Peterson C. A computational model for understanding stem cell, trophectoderm and endoderm lineage determination. Plos One. 3: e3478. PMID 18941526 DOI: 10.1371/Journal.Pone.0003478 |
0.295 |
|
2017 |
Olariu V, Nilsson J, Jönsson H, Peterson C. Different reprogramming propensities in plants and mammals: Are small variations in the core network wirings responsible? Plos One. 12: e0175251. PMID 28384293 DOI: 10.1371/Journal.Pone.0175251 |
0.293 |
|
1991 |
Lönnblad L, Peterson C, Pi H, Rögnvaldsson T. Self-organizing networks for extracting jet features Computer Physics Communications. 67: 193-209. DOI: 10.1016/0010-4655(91)90016-E |
0.292 |
|
1984 |
Carlson CE, Hansson TH, Peterson C. Glueball spectrum in the bag model and in lattice gauge theories Physical Review D. 30: 1594-1595. DOI: 10.1103/Physrevd.30.1594 |
0.291 |
|
1983 |
Carlson CE, Hansson TH, Peterson C. Meson, baryon, and glueball masses in the MIT bag model Physical Review D. 27: 1556-1564. DOI: 10.1103/Physrevd.27.1556 |
0.29 |
|
1996 |
Hedén B, Ohlsson M, Rittner R, Pahlm O, Haisty WK, Peterson C, Edenbrandt L. Agreement Between Artificial Neural Networks and Experienced Electrocardiographer on Electrocardiographic Diagnosis of Healed Myocardial Infarction Journal of the American College of Cardiology. 28: 1012-1016. PMID 8837583 DOI: 10.1016/S0735-1097(96)00269-0 |
0.288 |
|
2010 |
Andréasson U, Edén P, Peterson C, Högerkorp CM, Jerkeman M, Andersen N, Berglund M, Sundström C, Rosenquist R, Borrebaeck CA, Ek S. Identification of uniquely expressed transcription factors in highly purified B-cell lymphoma samples. American Journal of Hematology. 85: 418-25. PMID 20513119 DOI: 10.1002/Ajh.21701 |
0.287 |
|
2003 |
Peterson C, Ringnér M. Analyzing tumor gene expression profiles. Artificial Intelligence in Medicine. 28: 59-74. PMID 12850313 DOI: 10.1016/S0933-3657(03)00035-6 |
0.287 |
|
1985 |
Flensburg M, Peterson C. Strings and SU(3) lattice gauge theory Physics Letters B. 153: 412-416. DOI: 10.1016/0370-2693(85)90483-6 |
0.287 |
|
1987 |
Flensburg M, Irbäck A, Peterson C. The effective string andSU(2) lattice MC data European Physical Journal C. 36: 629-637. DOI: 10.1007/Bf01630599 |
0.287 |
|
1983 |
Ambjorn J, Greensite J, Peterson C. The axial anomaly and the lattice Dirac sea Nuclear Physics. 221: 381-408. DOI: 10.1016/0550-3213(83)90585-0 |
0.287 |
|
1997 |
Irbäck A, Peterson C, Potthast F, Sommelius O. Local interactions and protein folding: A three-dimensional off-lattice approach Journal of Chemical Physics. 107: 273-282. DOI: 10.1063/1.474357 |
0.286 |
|
1989 |
Peterson C, Hartman E. Explorations of the mean field theory learning algorithm Neural Networks. 2: 475-494. DOI: 10.1016/0893-6080(89)90045-2 |
0.285 |
|
2000 |
Peterson C. Folding and design in coarse-grained protein models Arxiv: High Energy Physics - Lattice. 712-714. DOI: 10.1016/S0920-5632(00)91784-5 |
0.285 |
|
1981 |
Brodsky SJ, Peterson C, Sakai N. Intrinsic heavy-quark states Physical Review D. 23: 2745-2757. DOI: 10.1103/Physrevd.23.2745 |
0.284 |
|
1986 |
Peterson C. Do results from lattice gauge theories distinguish between different fragmentation models? Physical Review D. 34: 1631-1633. DOI: 10.1103/Physrevd.34.1631 |
0.283 |
|
1998 |
Holst H, Ohlsson M, Peterson C, Edenbrandt L. Intelligent computer reporting 'lack of experience' : A confidence measure for decision support systems Clinical Physiology. 18: 139-147. PMID 9568353 DOI: 10.1046/J.1365-2281.1998.00087.X |
0.282 |
|
1977 |
Andersson B, Gustafson G, Peterson C. A Quark Parton Model for Hadronic Fragmentation Distributions Physics Letters B. 71: 337-341. DOI: 10.1016/0370-2693(77)90232-5 |
0.282 |
|
1985 |
Peterson C, Sköld L. Direct observation of string vibrations in three dimensional compact QED Nuclear Physics. 255: 365-382. DOI: 10.1016/0550-3213(85)90141-5 |
0.282 |
|
1979 |
Hoyer P, Peterson C, Lai C-, Petersen JL. Hadron distributions in quark jets Nuclear Physics. 151: 389-398. DOI: 10.1016/0550-3213(79)90446-2 |
0.282 |
|
1992 |
Peterson C. Neural networks as classifiers in subatomic physics Nuclear Physics News. 2: 14-18. DOI: 10.1080/10506899208260789 |
0.282 |
|
1982 |
Hansson TH, Johnson K, Peterson C. Quantum-chromodynamic vacuum as a glueball condensate Physical Review D. 26: 2069-2085. DOI: 10.1103/Physrevd.26.2069 |
0.281 |
|
1995 |
Peterson C. Determining Dependency Structures And Estimating Nonlinear Regression Errors Without Doing Regression International Journal of Modern Physics C. 6: 611-616. DOI: 10.1142/S0129183195000514 |
0.281 |
|
2007 |
Troein C, Ahrén D, Krogh M, Peterson C. Is transcriptional regulation of metabolic pathways an optimal strategy for fitness? Plos One. 2. PMID 17786226 DOI: 10.1371/Journal.Pone.0000855 |
0.28 |
|
1998 |
Irbäck A, Peterson C, Potthast F, Sandelin E. Monte Carlo procedure for protein design Physical Review E. 58. DOI: 10.1103/Physreve.58.R5249 |
0.28 |
|
1991 |
Yuille AL, Peterson C, Honda K. Deformable templates, robust statistics, and Hough transforms Proceedings of Spie. 1570: 166-174. DOI: 10.1117/12.48422 |
0.28 |
|
1996 |
Jönsson B, Ullner M, Peterson C, Sommelius O, Söderberg B. Titrating polyelectrolytes - Variational calculations and Monte Carlo simulations The Journal of Physical Chemistry. 100: 409-417. DOI: 10.1021/Jp951763P |
0.279 |
|
1990 |
Peterson C, Redfield S, Keeler JD, Hartman E. An optoelectronic architecture for multilayer learning in a single photorefractive crystal Neural Computation. 2: 25-34. DOI: 10.1162/Neco.1990.2.1.25 |
0.279 |
|
1978 |
Gustafson G, Peterson C. A comparison of the quark-parton model with data on the electroproduction of pions Lettere Al Nuovo Cimento. 21: 265-269. DOI: 10.1007/Bf02763083 |
0.279 |
|
1980 |
Peterson C, Walsh TF. Model of a nonperturbative gluon jet Physics Letters B. 91: 455-458. DOI: 10.1016/0370-2693(80)91019-9 |
0.278 |
|
2019 |
Carlson CE, Peterson C. Density of pseudoscalar states: Evidence for valence glue. Physical Review Letters. 55: 355-358. PMID 10032329 DOI: 10.1103/Physrevlett.55.355 |
0.277 |
|
1993 |
Peterson C. Solving optimization problems with mean field methods Physica a-Statistical Mechanics and Its Applications. 200: 570-580. DOI: 10.1016/0378-4371(93)90562-I |
0.277 |
|
1997 |
Lagerholm M, Peterson C, Söderberg B. Airline crew scheduling with Potts neurons Neural Computation. 9: 1589-1599. DOI: 10.1162/Neco.1997.9.7.1589 |
0.276 |
|
1984 |
Ambjørn J, Olesen P, Peterson C. Three-dimensional lattice gauge theory and strings Nuclear Physics. 244: 262-276. DOI: 10.1016/0550-3213(84)90193-7 |
0.276 |
|
2012 |
Pina C, Fugazza C, Tipping AJ, Brown J, Soneji S, Teles J, Peterson C, Enver T. Inferring rules of lineage commitment in haematopoiesis. Nature Cell Biology. 14: 287-94. PMID 22344032 DOI: 10.1038/Ncb2442 |
0.276 |
|
2009 |
Enver T, Pera M, Peterson C, Andrews PW. Stem cell states, fates, and the rules of attraction. Cell Stem Cell. 4: 387-97. PMID 19427289 DOI: 10.1016/J.Stem.2009.04.011 |
0.276 |
|
1986 |
Ambjørn J, Flensburg M, Peterson C. The complex langevin equation and Monte Carlo simulations of actions with static charges Nuclear Physics. 275: 375-397. DOI: 10.1016/0550-3213(86)90605-X |
0.275 |
|
2019 |
Jönsson B, Peterson C, Söderberg B. Variational approach to correlations in charged polymers. Physical Review Letters. 71: 376-379. PMID 10055255 DOI: 10.1103/Physrevlett.71.376 |
0.273 |
|
2019 |
Peterson C, Sommelius O, Söderberg B. Blocking technique for emulating very large polyelectrolytes. Physical Review Letters. 76: 1079-1082. PMID 10061628 DOI: 10.1103/Physrevlett.76.1079 |
0.273 |
|
2000 |
Lagerholm M, Peterson C, Söderberg B. Airline crew scheduling using Potts mean field techniques European Journal of Operational Research. 120: 81-96. DOI: 10.1016/S0377-2217(98)00387-7 |
0.272 |
|
1990 |
Peterson C, Redfield SR, Keeler JD, Hartman E. Optoelectronic implementation of multilayer neural networks in a single photorefractive crystal Optical Engineering. 29: 359-368. DOI: 10.1117/12.55604 |
0.272 |
|
2005 |
Breslin T, Krogh M, Peterson C, Troein C. Signal transduction pathway profiling of individual tumor samples. Bmc Bioinformatics. 6: 163. PMID 15987529 DOI: 10.1186/1471-2105-6-163 |
0.271 |
|
2004 |
Edén P, Ritz C, Rose C, Fernö M, Peterson C. "Good Old" clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers. European Journal of Cancer (Oxford, England : 1990). 40: 1837-41. PMID 15288284 DOI: 10.1016/J.Ejca.2004.02.025 |
0.271 |
|
1983 |
Peterson C, Zerwas PM, Walsh TF. Assessing QCD in deep-inelastic eγ scattering☆ Nuclear Physics. 229: 301-316. DOI: 10.1016/0550-3213(83)90334-6 |
0.271 |
|
1996 |
Ullner M, Jönsson B, Söderberg B, Peterson C. A Monte Carlo study of titrating polyelectrolytes Journal of Chemical Physics. 104: 3048-3057. DOI: 10.1063/1.471071 |
0.27 |
|
2019 |
Lönnblad L, Peterson C, Rögnvaldsson T. Finding gluon jets with a neural trigger. Physical Review Letters. 65: 1321-1324. PMID 10042234 DOI: 10.1103/Physrevlett.65.1321 |
0.27 |
|
1977 |
Andersson B, Gustafson G, Peterson C. The relationship between the meson, baryon, photon and quark fragmentation distributions Physics Letters B. 69: 221-224. DOI: 10.1016/0370-2693(77)90648-7 |
0.269 |
|
1992 |
Gisln L, Peterson C, Sderberg B. Rotor neurons: Basic formalism and dynamics Neural Computation. 4: 737-745. DOI: 10.1162/Neco.1992.4.5.737 |
0.269 |
|
1984 |
Flensburg M, Peterson C, Sköld L. Applications of an improved bag model European Physical Journal C. 22: 293-300. DOI: 10.1007/Bf01575795 |
0.268 |
|
1978 |
Andersson B, Gustafson G, Peterson C. Implications of a Large Vector Meson Production on Quark Jet Fragmentation and Large pT Reactions Physica Scripta. 18: 193-195. DOI: 10.1088/0031-8949/18/4/001 |
0.268 |
|
1996 |
Peterson C, Sommelius O, Söderberg B. Scaling and scale breaking in polyelectrolytes Journal of Chemical Physics. 105: 5233-5241. DOI: 10.1063/1.472372 |
0.267 |
|
2002 |
Ringnér M, Peterson C, Khan J. Analyzing array data using supervised methods. Pharmacogenomics. 3: 403-15. PMID 12052147 DOI: 10.1517/14622416.3.3.403 |
0.267 |
|
1984 |
Ambjørn J, Olesen P, Peterson C. STOCHASTIC CONFINEMENT AND DIMENSIONAL REDUCTION (II). Three-dimensional SU(2) lattice gauge theory Nuclear Physics. 240: 533-542. DOI: 10.1016/0550-3213(84)90242-6 |
0.266 |
|
1997 |
Ullner M, Jönsson B, Peterson C, Sommelius O, Söderberg B. The electrostatic persistence length calculated from Monte Carlo, variational and perturbation methods Journal of Chemical Physics. 107: 1279-1287. DOI: 10.1063/1.474139 |
0.266 |
|
1983 |
Peterson C, Schlatter D, Schmitt I, Zerwas PM. Scaling violations in inclusive e/sup +/e/sup -/ annihilation spectra Physical Review D. DOI: 10.1103/Physrevd.27.105 |
0.265 |
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2003 |
Zhang Z, Lindstam M, Unge J, Peterson C, Lu G. Potential for dramatic improvement in sequence alignment against structures of remote homologous proteins by extracting structural information from multiple structure alignment. Journal of Molecular Biology. 332: 127-42. PMID 12946352 DOI: 10.1016/S0022-2836(03)00858-1 |
0.263 |
|
2006 |
Melke P, Jönsson H, Pardali E, ten Dijke P, Peterson C. A rate equation approach to elucidate the kinetics and robustness of the TGF-beta pathway. Biophysical Journal. 91: 4368-80. PMID 17012329 DOI: 10.1529/Biophysj.105.080408 |
0.262 |
|
1986 |
DeGrand TA, Peterson C. Finite-size effects for lattice glueball masses. Physical Review D: Particles and Fields. 34: 3180-3185. PMID 9957042 DOI: 10.1103/Physrevd.34.3180 |
0.262 |
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1996 |
Irback A, Peterson C, Potthast F. Evidence for nonrandom hydrophobicity structures in protein chains Proceedings of the National Academy of Sciences of the United States of America. 93: 9533-9538. PMID 8790365 DOI: 10.1073/Pnas.93.18.9533 |
0.257 |
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1986 |
Irbäck A, Peterson C. Numerical evidence for a mass gap in three-dimensional SU(2) Physics Letters B. 174: 99-103. DOI: 10.1016/0370-2693(86)91136-6 |
0.256 |
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1984 |
Ambjørn J, Olesen P, Peterson C. Observation of a string in three-dimensional SU(2) lattice gauge theory Physics Letters B. 142: 410-414. DOI: 10.1016/0370-2693(84)91352-2 |
0.256 |
|
1985 |
Ambjørn J, Flensburg M, Peterson C. Langevin Simulations of Configurations With Static Charges Physics Letters B. 159: 335-340. DOI: 10.1016/0370-2693(85)90262-X |
0.256 |
|
1983 |
Carlson CE, Hansson TH, Peterson C. Gluon-gluon interactions in the bag model Physical Review D. 27: 2167-2181. DOI: 10.1103/Physrevd.27.2167 |
0.255 |
|
1994 |
Pi H, Peterson C. Delta 2.0 - A program for finding dependencies in tables of data Computer Physics Communications. 83: 293-306. DOI: 10.1016/0010-4655(94)90056-6 |
0.253 |
|
2006 |
Niméus-Malmström E, Ritz C, Edén P, Johnsson A, Ohlsson M, Strand C, Ostberg G, Fernö M, Peterson C. Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy. European Journal of Cancer (Oxford, England : 1990). 42: 2729-37. PMID 17023159 DOI: 10.1016/J.Ejca.2006.06.031 |
0.253 |
|
1983 |
Carlson CE, Hansson TH, Peterson C. Erratum: Meson, baryon, and glueball masses in the MIT bag model Physical Review D. 28: 2895-2895. DOI: 10.1103/Physrevd.28.2895 |
0.25 |
|
2003 |
Blankenbecler R, Ohlsson M, Peterson C, Ringner M. Matching protein structures with fuzzy alignments. Proceedings of the National Academy of Sciences of the United States of America. 100: 11936-40. PMID 14526099 DOI: 10.1073/Pnas.1635048100 |
0.248 |
|
2020 |
Op De Beeck M, Troein C, Siregar S, Gentile L, Abbondanza G, Peterson C, Persson P, Tunlid A. Regulation of fungal decomposition at single-cell level. The Isme Journal. PMID 31896790 DOI: 10.1038/S41396-019-0583-9 |
0.247 |
|
2003 |
Gruvberger SK, Ringnér M, Edén P, Borg A, Fernö M, Peterson C, Meltzer PS. Expression profiling to predict outcome in breast cancer: the influence of sample selection. Breast Cancer Research : Bcr. 5: 23-6. PMID 12559041 DOI: 10.1186/Bcr548 |
0.246 |
|
1980 |
Brodsky SJ, Hoyer P, Peterson C, Sakai N. The Intrinsic Charm of the Proton Physics Letters B. 93: 451-455. DOI: 10.1016/0370-2693(80)90364-0 |
0.243 |
|
1992 |
Ohlsson M, Peterson C, Yuille AL. Track finding with deformable templates - the elastic arms approach Computer Physics Communications. 71: 77-98. DOI: 10.1016/0010-4655(92)90074-9 |
0.243 |
|
2001 |
Khan J, Wei J, Saal L, Marc L, Markus R, Peterson C, Chen Y, Meltzer P. Development of a molecular taxonomy of small blue round-cell tumors using cDNA microarrays Nature Genetics. 27: 64-64. DOI: 10.1038/87150 |
0.24 |
|
2000 |
Lagerholm M, Peterson C, Braccini G, Edenbrandt L, Sornmo L. Clustering ECG complexes using Hermite functions and self-organizing maps Ieee Transactions On Biomedical Engineering. 47: 838-848. PMID 10916254 DOI: 10.1109/10.846677 |
0.239 |
|
1984 |
Peterson C. Hadronic production of glueballs Physics Letters B. 141: 251-254. DOI: 10.1016/0370-2693(84)90211-9 |
0.239 |
|
2007 |
Gruvberger-Saal SK, Bendahl PO, Saal LH, Laakso M, Hegardt C, Edén P, Peterson C, Malmström P, Isola J, Borg A, Fernö M. Estrogen receptor beta expression is associated with tamoxifen response in ERalpha-negative breast carcinoma. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. 13: 1987-94. PMID 17404078 DOI: 10.1158/1078-0432.Ccr-06-1823 |
0.234 |
|
1977 |
Gustafson G, Peterson C. On the diffractive production of charmed baryons Physics Letters B. 67: 81-83. DOI: 10.1016/0370-2693(77)90812-7 |
0.234 |
|
2002 |
Saal LH, Troein C, Vallon-Christersson J, Gruvberger S, Borg A, Peterson C. BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data. Genome Biology. 3: SOFTWARE0003. PMID 12186655 DOI: 10.1186/Gb-2002-3-8-Software0003 |
0.233 |
|
2011 |
Carlsson A, Wingren C, Kristensson M, Rose C, Fernö M, Olsson H, Jernström H, Ek S, Gustavsson E, Ingvar C, Ohlsson M, Peterson C, Borrebaeck CA. Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases. Proceedings of the National Academy of Sciences of the United States of America. 108: 14252-7. PMID 21844363 DOI: 10.1073/Pnas.1103125108 |
0.231 |
|
2008 |
Ingvarsson J, Wingren C, Carlsson A, Ellmark P, Wahren B, Engström G, Harmenberg U, Krogh M, Peterson C, Borrebaeck CA. Detection of pancreatic cancer using antibody microarray-based serum protein profiling. Proteomics. 8: 2211-9. PMID 18528842 DOI: 10.1002/Pmic.200701167 |
0.227 |
|
2018 |
Op De Beeck M, Troein C, Peterson C, Persson P, Tunlid A. Fenton reaction facilitates organic nitrogen acquisition by an ectomycorrhizal fungus. The New Phytologist. PMID 29297591 DOI: 10.1111/Nph.14971 |
0.226 |
|
1980 |
Peterson C, Walsh TF, Zerwas PM. Deep inelastic electron-proton scattering Nuclear Physics. 174: 424-444. DOI: 10.1016/0550-3213(80)90293-X |
0.224 |
|
2003 |
Borg A, Fernö M, Peterson C. Predicting the future of breast cancer. Nature Medicine. 9: 16-8. PMID 12514712 DOI: 10.1038/Nm0103-16 |
0.223 |
|
1984 |
Ambjørn J, Olesen P, Peterson C. Stochastic confinement and dimensional reduction Nuclear Physics. 240: 189-212. DOI: 10.1016/0550-3213(84)90475-9 |
0.222 |
|
2008 |
Niméus-Malmström E, Krogh M, Malmström P, Strand C, Fredriksson I, Karlsson P, Nordenskjöld B, Stål O, Ostberg G, Peterson C, Fernö M. Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapy. Breast Cancer Research : Bcr. 10: R34. PMID 18430221 DOI: 10.1186/Bcr1997 |
0.22 |
|
1976 |
Gustafson G, Peterson C. Rescattering effects in the decay of the A1 Nuclear Physics. 116: 301-316. DOI: 10.1016/0550-3213(76)90349-7 |
0.212 |
|
1975 |
Peterson C. Evidence for a fixed J = 0 pole in pion compton scattering Lettere Al Nuovo Cimento Series 2. 13: 460-462. DOI: 10.1007/Bf02745958 |
0.211 |
|
2001 |
Ringner M, Peterson C, Gruvberger S, Fernö M, Borg Å, Khan J, Wei J, Saal L, Chen Y, Ladanyi M, Meltzer PS, Trent JM. A layered perceptron approach to categorizing cDNA microarray measurements Nature Genetics. 27: 83-83. DOI: 10.1038/87270 |
0.206 |
|
2016 |
Fogelmark K, Peterson C, Troein C. Selection shapes transcriptional logic and regulatory specialization in genetic networks Plos One. 11. DOI: 10.1371/journal.pone.0150340 |
0.197 |
|
1989 |
Peterson C. A review of: “Computer Simulations in Brain Science” Rodney M. J. Cotterill (Ed.), 1988 Cambridge, Cambridge University Press ISBN 0-521-34179-5, xvi +566pp., US$65.00 Connection Science. 1: 418-418. DOI: 10.1080/09540098908915653 |
0.188 |
|
1990 |
von Holst H, Knochenhauer E, Blomgren H, Collins VP, Ehn L, Lindquist M, Norén G, Peterson C. Uptake of adriamycin in tumour and surrounding brain tissue in patients with malignant gliomas. Acta Neurochirurgica. 104: 13-6. PMID 2386084 DOI: 10.1007/Bf01842886 |
0.185 |
|
2002 |
Westermann F, Wei JS, Ringner M, Saal LH, Berthold F, Schwab M, Peterson C, Meltzer P, Khan J. Classification and diagnostic prediction of pediatric cancers using gene expression profiling and artificial neural networks Gbm Annual Fall Meeting Halle 2002. 2002. DOI: 10.1240/SAV_GBM_2002_H_000061 |
0.161 |
|
2004 |
Gruvberger-Saal SK, Edén P, Ringnér M, Baldetorp B, Chebil G, Borg A, Fernö M, Peterson C, Meltzer PS. Predicting continuous values of prognostic markers in breast cancer from microarray gene expression profiles. Molecular Cancer Therapeutics. 3: 161-8. PMID 14985456 |
0.149 |
|
2024 |
Op De Beeck M, Troein C, Peterson C, Tunlid A, Persson P. Elucidating fungal decomposition of organic matter at sub-micrometer spatial scales using optical photothermal infrared (O-PTIR) microspectroscopy. Applied and Environmental Microbiology. 90: e0148923. PMID 38289133 DOI: 10.1128/aem.01489-23 |
0.12 |
|
2020 |
Troein C, Siregar S, Beeck MO, Peterson C, Tunlid A, Persson P. OCTAVVS: A Graphical Toolbox for High-Throughput Preprocessing and Analysis of Vibrational Spectroscopy Imaging Data. Methods and Protocols. 3. PMID 32369914 DOI: 10.3390/mps3020034 |
0.098 |
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