| Year |
Citation |
Score |
| 2024 |
Andersson E, Rothenberg EV, Peterson C, Olariu V. T-cell commitment inheritance-an agent-based multi-scale model. Npj Systems Biology and Applications. 10: 40. PMID 38632273 DOI: 10.1038/s41540-024-00368-y |
0.521 |
|
| 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 |
0.519 |
|
| 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 |
0.535 |
|
| 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 |
0.304 |
|
| 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 |
0.352 |
|
| 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 |
0.344 |
|
| 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 |
0.317 |
|
| 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 |
0.553 |
|
| 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 |
0.3 |
|
| 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 |
0.349 |
|
| 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 |
0.302 |
|
| 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 |
0.366 |
|
| 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 |
0.32 |
|
| 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 |
0.546 |
|
| 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 |
0.353 |
|
| 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 |
0.33 |
|
| 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 |
0.315 |
|
| 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 |
0.349 |
|
| 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 |
0.306 |
|
| 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 |
0.337 |
|
| 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 |
0.323 |
|
| 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 |
0.331 |
|
| 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 |
0.324 |
|
| 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 |
0.309 |
|
| 2003 |
Ringnér M, Peterson C. Microarray-based cancer diagnosis with artificial neural networks. Biotechniques. 30-5. PMID 12664682 DOI: 10.2144/Mar03Ringner |
0.307 |
|
| 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 |
0.302 |
|
| 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 |
0.302 |
|
| 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 |
0.31 |
|
| 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 |
0.301 |
|
| 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 |
0.306 |
|
| 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 |
0.321 |
|
| 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 |
0.306 |
|
| 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 |
0.304 |
|
| 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 |
0.321 |
|
| 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 |
0.303 |
|
| 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 |
0.33 |
|
| 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 |
0.305 |
|
| 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 |
0.3 |
|
| 1979 |
Andersson B, Gustafson G, Peterson C. Quark Jet Fragmentation Physica Scripta. 19: 184-190. DOI: 10.1088/0031-8949/19/2/015 |
0.309 |
|
| 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 |
|
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