| Year |
Citation |
Score |
| 2023 |
Medwedeff E, Mjolsness E. Approximate simulation of cortical microtubule models using dynamical graph grammars. Physical Biology. PMID 37279763 DOI: 10.1088/1478-3975/acdbfb |
0.367 |
|
| 2020 |
Keating SM, Waltemath D, König M, Zhang F, Dräger A, Chaouiya C, Bergmann FT, Finney A, Gillespie CS, Helikar T, Hoops S, Malik-Sheriff RS, Moodie SL, Moraru II, Myers CJ, ... ... Mjolsness E, et al. SBML Level 3: an extensible format for the exchange and reuse of biological models. Molecular Systems Biology. 16: e9110. PMID 32845085 DOI: 10.15252/Msb.20199110 |
0.362 |
|
| 2020 |
Mjolsness E. Operator Algebras for Dynamic Topology Models of Cytoskeleton Biophysical Journal. 118. DOI: 10.1016/J.Bpj.2019.11.2553 |
0.314 |
|
| 2019 |
Ernst OK, Bartol TM, Sejnowski TJ, Mjolsness E. Learning moment closure in reaction-diffusion systems with spatial dynamic Boltzmann distributions. Physical Review. E. 99: 063315. PMID 31330605 DOI: 10.1103/Physreve.99.063315 |
0.682 |
|
| 2019 |
Mjolsness E. Prospects for Declarative Mathematical Modeling of Complex Biological Systems. Bulletin of Mathematical Biology. PMID 31175549 DOI: 10.1007/S11538-019-00628-7 |
0.352 |
|
| 2019 |
Shapiro BE, Mjolsness E. A Pycellerator Tutorial. Methods in Molecular Biology (Clifton, N.J.). 1945: 1-32. PMID 30945240 DOI: 10.1007/978-1-4939-9102-0_1 |
0.329 |
|
| 2019 |
Scott CB, Mjolsness E. Multilevel Artificial Neural Network Training for Spatially Correlated Learning Siam Journal On Scientific Computing. 41: S297-S320. DOI: 10.1137/18M1191506 |
0.374 |
|
| 2019 |
Mjolsness E, Ernst OK, Bartol TM, Sejnowski TJ. Some Prospects for Artificial Intelligence (Both Numeric and Symbolic) in Multiscale Biophysics Biophysical Journal. 116: 323a. DOI: 10.1016/J.Bpj.2018.11.1753 |
0.455 |
|
| 2018 |
Ernst OK, Bartol T, Sejnowski T, Mjolsness E. Learning dynamic Boltzmann distributions as reduced models of spatial chemical kinetics. The Journal of Chemical Physics. 149: 034107. PMID 30037235 DOI: 10.1063/1.5026403 |
0.683 |
|
| 2016 |
Shapiro BE, Mjolsness E. Pycellerator: an arrow-based reaction-like modelling language for biological simulations. Bioinformatics (Oxford, England). 32: 629-31. PMID 26504142 DOI: 10.1093/Bioinformatics/Btv596 |
0.346 |
|
| 2015 |
Johnson T, Bartol T, Sejnowski T, Mjolsness E. Model reduction for stochastic CaMKII reaction kinetics in synapses by graph-constrained correlation dynamics. Physical Biology. 12: 045005. PMID 26086598 DOI: 10.1088/1478-3975/12/4/045005 |
0.541 |
|
| 2013 |
Shapiro BE, Meyerowitz EM, Mjolsness E. Using cellzilla for plant growth simulations at the cellular level. Frontiers in Plant Science. 4: 408. PMID 24137172 DOI: 10.3389/Fpls.2013.00408 |
0.362 |
|
| 2013 |
Mjolsness E. Time-ordered product expansions for computational stochastic system biology. Physical Biology. 10: 035009. PMID 23735739 DOI: 10.1088/1478-3975/10/3/035009 |
0.487 |
|
| 2013 |
Mjolsness E, Prasad U. Mathematics of small stochastic reaction networks: a boundary layer theory for eigenstate analysis. The Journal of Chemical Physics. 138: 104111. PMID 23514469 DOI: 10.1063/1.4794128 |
0.376 |
|
| 2012 |
Orendorff D, Mjolsness E. A hierarchical exact accelerated stochastic simulation algorithm. The Journal of Chemical Physics. 137: 214104. PMID 23231214 DOI: 10.1063/1.4766353 |
0.693 |
|
| 2012 |
Mironova VV, Omelyanchuk NA, Novoselova ES, Doroshkov AV, Kazantsev FV, Kochetov AV, Kolchanov NA, Mjolsness E, Likhoshvai VA. Combined in silico/in vivo analysis of mechanisms providing for root apical meristem self-organization and maintenance. Annals of Botany. 110: 349-360. PMID 22510326 DOI: 10.1093/Aob/Mcs069 |
0.313 |
|
| 2011 |
Nikolaev SV, Zubairova US, Fadeev SI, Mjolsness E, Kolchanov NA. Study of a one-dimensional model, accounting for cell division, of regulation of the renewing zone size in a biological tissue Journal of Applied and Industrial Mathematics. 5: 601-611. DOI: 10.1134/S1990478911040156 |
0.309 |
|
| 2010 |
Mjolsness E. Towards Measurable Types for Dynamical Process Modeling Languages. Electronic Notes in Theoretical Computer Science. 265: 123-144. PMID 21572536 DOI: 10.1016/J.Entcs.2010.08.008 |
0.335 |
|
| 2010 |
Wang Y, Christley S, Mjolsness E, Xie X. Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent. Bmc Systems Biology. 4: 99. PMID 20663171 DOI: 10.1186/1752-0509-4-99 |
0.417 |
|
| 2010 |
Mironova VV, Omelyanchuk NA, Yosiphon G, Fadeev SI, Kolchanov NA, Mjolsness E, Likhoshvai VA. A plausible mechanism for auxin patterning along the developing root. Bmc Systems Biology. 4: 98. PMID 20663170 DOI: 10.1186/1752-0509-4-98 |
0.669 |
|
| 2009 |
Mjolsness E, Orendorff D, Chatelain P, Koumoutsakos P. An exact accelerated stochastic simulation algorithm. The Journal of Chemical Physics. 130: 144110. PMID 19368432 DOI: 10.1063/1.3078490 |
0.697 |
|
| 2007 |
Mjolsness E. Towards a calculus of biomolecular complexes at equilibrium. Briefings in Bioinformatics. 8: 226-33. PMID 17640924 DOI: 10.1093/Bib/Bbm034 |
0.31 |
|
| 2007 |
Mjolsness E. On cooperative quasi-equilibrium models of transcriptional regulation. Journal of Bioinformatics and Computational Biology. 5: 467-90. PMID 17636856 DOI: 10.1142/S0219720007002874 |
0.324 |
|
| 2006 |
Hart CE, Mjolsness E, Wold BJ. Connectivity in the yeast cell cycle transcription network: inferences from neural networks. Plos Computational Biology. 2: e169. PMID 17194216 DOI: 10.1371/Journal.Pcbi.0020169 |
0.308 |
|
| 2006 |
Jönsson H, Heisler MG, Shapiro BE, Meyerowitz EM, Mjolsness E. An auxin-driven polarized transport model for phyllotaxis. Proceedings of the National Academy of Sciences of the United States of America. 103: 1633-8. PMID 16415160 DOI: 10.1073/Pnas.0509839103 |
0.317 |
|
| 2006 |
Mjolsness E, Yosiphon G. Stochastic process semantics for dynamical grammars Annals of Mathematics and Artificial Intelligence. 47: 329-395. DOI: 10.1007/S10472-006-9034-1 |
0.709 |
|
| 2006 |
Mjolsness E. The growth and development of some recent plant models: A viewpoint Journal of Plant Growth Regulation. 25: 270-277. DOI: 10.1007/S00344-006-0069-7 |
0.374 |
|
| 2006 |
Bhan A, Mjolsness E. Static and dynamic models of biological networks Complexity. 11: 57-63. DOI: 10.1002/Cplx.20140 |
0.339 |
|
| 2005 |
Jönsson H, Heisler M, Reddy GV, Agrawal V, Gor V, Shapiro BE, Mjolsness E, Meyerowitz EM. Modeling the organization of the WUSCHEL expression domain in the shoot apical meristem. Bioinformatics (Oxford, England). 21: i232-40. PMID 15961462 DOI: 10.1093/Bioinformatics/Bti1036 |
0.364 |
|
| 2005 |
Hart CE, Sharenbroich L, Bornstein BJ, Trout D, King B, Mjolsness E, Wold BJ. A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data. Nucleic Acids Research. 33: 2580-94. PMID 15886390 DOI: 10.1093/Nar/Gki536 |
0.308 |
|
| 2005 |
Cheng J, Scharenbroich L, Baldi P, Mjolsness E. Sigmoid: A software infrastructure for pathway bioinformatics and systems biology Ieee Intelligent Systems. 20: 68-75. DOI: 10.1109/Mis.2005.51 |
0.307 |
|
| 2000 |
Lu CP, Hager GD, Mjolsness E. Fast and globally convergent pose estimation from video images Ieee Transactions On Pattern Analysis and Machine Intelligence. 22: 610-622. DOI: 10.1109/34.862199 |
0.302 |
|
| 1999 |
Rangarajan A, Yuille A, Mjolsness E. Convergence properties of the softassign quadratic assignment algorithm Neural Computation. 11: 1455-1474. PMID 10423503 DOI: 10.1162/089976699300016313 |
0.414 |
|
| 1998 |
Gold S, Rangarajan A, Lu CP, Pappu S, Mjolsness E. New algorithms for 2D and 3D point matching: Pose estimation and correspondence Pattern Recognition. 31: 1019-1031. DOI: 10.1016/S0031-3203(98)80010-1 |
0.344 |
|
| 1997 |
Rangarajan A, Chui H, Mjolsness E, Pappu S, Davachi L, Goldman-Rakic P, Duncan J. A robust point-matching algorithm for autoradiograph alignment. Medical Image Analysis. 1: 379-98. PMID 9873917 DOI: 10.1016/S1361-8415(97)85008-6 |
0.324 |
|
| 1996 |
Rangarajan A, Gold S, Mjolsness E. A Novel Optimizing Network Architecture with Applications Neural Computation. 8: 1041-1060. DOI: 10.1162/Neco.1996.8.5.1041 |
0.305 |
|
| 1996 |
Lu CP, Mjolsness E, Hager GD. Online computation of exterior orientation with application to hand-eye calibration Mathematical and Computer Modelling. 24: 121-143. DOI: 10.1016/0895-7177(96)00118-5 |
0.326 |
|
| 1994 |
Tsioutsias DI, Mjolsness E. Optimization dynamics for partitioned neural networks International Journal of Neural Systems. 5: 275-286. PMID 7711960 DOI: 10.1142/S0129065794000281 |
0.33 |
|
| 1993 |
Miranker WL, Mjolsness E. Accelerating neural net dynamics by boundary layer methods Applied Mathematics Letters. 6: 85-89. DOI: 10.1016/0893-9659(93)90041-K |
0.301 |
|
| 1993 |
Sharp DH, Reinitz J, Mjolsness E. Multiscale modeling of developmental processes Open Systems & Information Dynamics. 2: 67-76. DOI: 10.1007/Bf02228972 |
0.355 |
|
| 1992 |
Mjolsness E. Visual grammars and their neural networks Proceedings of Spie. 1710: 63-85. DOI: 10.1117/12.140075 |
0.364 |
|
| 1991 |
Mjolsness E, Sharp DH, Reinitz J. A connectionist model of development. Journal of Theoretical Biology. 152: 429-53. PMID 1758194 DOI: 10.1016/S0022-5193(05)80391-1 |
0.389 |
|
| 1989 |
Mjolsness E, Gindi G, Anandan P. Optimization in Model Matching and Perceptual Organization Neural Computation. 1: 218-229. DOI: 10.1162/Neco.1989.1.2.218 |
0.308 |
|
| 1989 |
Mjolsness E, Sharp DH, Alpert BK. Scaling, machine learning, and genetic neural nets Advances in Applied Mathematics. 10: 137-163. DOI: 10.1016/0196-8858(89)90008-0 |
0.315 |
|
| 1988 |
Zador T, Gindi G, Mjolsness E, Anandan P. Neural network for model based recognition: Simulation results Neural Networks. 1: 532. DOI: 10.1016/0893-6080(88)90554-0 |
0.335 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 1990 |
Mjolsness E, Garrett C. Algebraic transformations of objective functions Neural Networks. 3: 651-669. DOI: 10.1016/0893-6080(90)90055-P |
0.299 |
|
| 1991 |
Mjolsness E, Garrett CD, Miranker WL. Multiscale Optimization in Neural Nets Ieee Transactions On Neural Networks. 2: 263-274. DOI: 10.1109/72.80337 |
0.295 |
|
| 2003 |
Shapiro BE, Levchenko A, Meyerowitz EM, Wold BJ, Mjolsness ED. Cellerator: extending a computer algebra system to include biochemical arrows for signal transduction simulations. Bioinformatics (Oxford, England). 19: 677-8. PMID 12651737 DOI: 10.1093/Bioinformatics/Btg042 |
0.292 |
|
| 2003 |
Wang R, Scharenbroich L, Hart C, Wold B, Mjolsness E. Clustering analysis of microarray gene expression data by splitting algorithm Journal of Parallel and Distributed Computing. 63: 692-706. DOI: 10.1016/S0743-7315(03)00085-6 |
0.288 |
|
| 2015 |
Shapiro BE, Tobin C, Mjolsness E, Meyerowitz EM. Analysis of cell division patterns in the Arabidopsis shoot apical meristem. Proceedings of the National Academy of Sciences of the United States of America. 112: 4815-20. PMID 25825722 DOI: 10.1073/Pnas.1502588112 |
0.288 |
|
| 2022 |
Mjolsness E. Explicit Calculation of Structural Commutation Relations for Stochastic and Dynamical Graph Grammar Rule Operators in Biological Morphodynamics. Frontiers in Systems Biology. 2. PMID 36712785 DOI: 10.3389/fsysb.2022.898858 |
0.285 |
|
| 2010 |
Compani B, Su T, Chang I, Cheng J, Shah KH, Whisenant T, Dou Y, Bergmann A, Cheong R, Wold B, Bardwell L, Levchenko A, Baldi P, Mjolsness E. A scalable and integrative system for pathway bioinformatics and systems biology. Advances in Experimental Medicine and Biology. 680: 523-34. PMID 20865537 DOI: 10.1007/978-1-4419-5913-3_58 |
0.285 |
|
| 1992 |
Hirsch J, Mjolsness E. A center-of-mass computation describes the precision of random dot displacement discrimination Vision Research. 32: 335-346. PMID 1574849 DOI: 10.1016/0042-6989(92)90143-7 |
0.281 |
|
| 2012 |
Cunha A, Tarr PT, Roeder AH, Altinok A, Mjolsness E, Meyerowitz EM. Computational analysis of live cell images of the Arabidopsis thaliana plant. Methods in Cell Biology. 110: 285-323. PMID 22482954 DOI: 10.1016/B978-0-12-388403-9.00012-6 |
0.281 |
|
| 2012 |
Young JW, Locke JC, Altinok A, Rosenfeld N, Bacarian T, Swain PS, Mjolsness E, Elowitz MB. Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy. Nature Protocols. 7: 80-8. PMID 22179594 DOI: 10.1038/Nprot.2011.432 |
0.281 |
|
| 1995 |
Reinitz J, Mjolsness E, Sharp DH. Model for cooperative control of positional information in Drosophila by bicoid and maternal hunchback. The Journal of Experimental Zoology. 271: 47-56. PMID 7852948 DOI: 10.1002/Jez.1402710106 |
0.274 |
|
| 2001 |
Mjolsness E, DeCoste D. Machine learning for science: state of the art and future prospects. Science (New York, N.Y.). 293: 2051-5. PMID 11557883 DOI: 10.1126/Science.293.5537.2051 |
0.27 |
|
| 2006 |
Mjolsness E. Stochastic process semantics for dynamical grammar syntax: An overview 9th International Symposium On Artificial Intelligence and Mathematics, Isaim 2006. |
0.269 |
|
| 1980 |
Bender CM, Cooper F, Guralnik GS, Mjolsness E, Rose HA, Sharp DH. A novel approach to the solution of boundary-layer problems Advances in Applied Mathematics. 1: 22-36. DOI: 10.1016/0196-8858(80)90004-4 |
0.259 |
|
| 2006 |
Howard A, Turmon M, Matthies L, Tang B, Angelova A, Mjolsness E. Towards learned traversability for robot navigation: From underfoot to the far field Journal of Field Robotics. 23: 1005-1017. DOI: 10.1002/Rob.20168 |
0.256 |
|
| 2000 |
Mjolsness E, Tavormina A. The synergy of biology, intelligent systems, and space exploration Ieee Intelligent Systems & Their Applications. 15: 20-25. DOI: 10.1109/5254.850823 |
0.247 |
|
| 2002 |
Vinogradova T, Burl M, Mjolsness E. Training of a crater detection algorithm for Mars crater imagery Ieee Aerospace Conference Proceedings. 7: 3201-3210. DOI: 10.1109/AERO.2002.1035297 |
0.245 |
|
| 1997 |
Rangarajan A, Yuille A, Gold S, Mjolsness E. A convergence proof for the softassign quadratic assignment algorithm Advances in Neural Information Processing Systems. 620-626. |
0.242 |
|
| 2019 |
Hamant O, Inoue D, Bouchez D, Dumais J, Mjolsness E. Are microtubules tension sensors? Nature Communications. 10: 2360. PMID 31142740 DOI: 10.1038/S41467-019-10207-Y |
0.238 |
|
| 2012 |
Mjolsness E, Cunha A. Topological object types for morphodynamic modeling languages Proceedings - 2012 Ieee 4th International Symposium On Plant Growth Modeling, Simulation, Visualization and Applications, Pma 2012. 8-14. DOI: 10.1109/PMA.2012.6524805 |
0.231 |
|
| 1996 |
Rangarajan A, Mjolsness E, Pappu S, Davachi L, Goldman-Rakic PS, Duncan JS. A robust point matching algorithm for autoradiograph alignment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1131: 277-286. |
0.224 |
|
| 2020 |
Davis RT, Blake K, Ma D, Gabra MBI, Hernandez GA, Phung AT, Yang Y, Maurer D, Lefebvre AEYT, Alshetaiwi H, Xiao Z, Liu J, Locasale JW, Digman MA, Mjolsness E, et al. Transcriptional diversity and bioenergetic shift in human breast cancer metastasis revealed by single-cell RNA sequencing. Nature Cell Biology. 22: 310-320. PMID 32144411 DOI: 10.1038/S41556-020-0477-0 |
0.219 |
|
| 1998 |
Marnellos G, Mjolsness E. A gene network approach to modeling early neurogenesis in Drosophila Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 30-41. PMID 9697169 |
0.216 |
|
| 2007 |
Likhoshvai VA, Omel'yanchuk NA, Mironova VV, Fadeev SI, Mjolsness ED, Kolchanov NA. Mathematical model of auxin distribution in the plant root Russian Journal of Developmental Biology. 38: 374-382. DOI: 10.1134/S1062360407060057 |
0.209 |
|
| 1993 |
Prusinkiewicz P, Hammel MS, Mjolsness E. Animation of plant development Proceedings of the 20th Annual Conference On Computer Graphics and Interactive Techniques, Siggraph 1993. 351-360. DOI: 10.1145/166117.166161 |
0.207 |
|
| 2000 |
Marnellos G, Deblandre GA, Mjolsness E, Kintner C. Delta-Notch lateral inhibitory patterning in the emergence of ciliated cells in Xenopus: experimental observations and a gene network model. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 329-40. PMID 10902181 |
0.202 |
|
| 2003 |
Hucka M, Finney A, Sauro HM, Bolouri H, Doyle JC, Kitano H, Arkin AP, Bornstein BJ, Bray D, Cornish-Bowden A, Cuellar AA, Dronov S, Gilles ED, Ginkel M, Gor V, ... ... Mjolsness ED, et al. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics (Oxford, England). 19: 524-31. PMID 12611808 DOI: 10.1093/Bioinformatics/Btg015 |
0.2 |
|
| 2000 |
Gilmore MS, Castaño R, Mann T, Anderson RC, Mjolsness ED, Manduchi R, Saunders RS. Strategies for autonomous rovers at Mars Journal of Geophysical Research E: Planets. 105: 29223-29237. DOI: 10.1029/2000Je001275 |
0.196 |
|
| 2006 |
Nikolaev SV, Fadeev SI, Penenko AV, Lavrekha VV, Mironova VV, Omelyanchuk NA, Mjolsness ED, Kolchanov NA. A systems approach to morphogenesis in Arabidopsis thaliana: II. Modeling the regulation of shoot apical meristem structure Biophysics. 51: 83-90. DOI: 10.1134/S0006350906070177 |
0.19 |
|
| 2006 |
Omelyanchuk NA, Mironova VV, Zalevsky EM, Shamov IS, Poplavsky AS, Podkolodny NL, Ponomaryov DK, Nikolaev SV, Mjolsness ED, Meyerowitz EM, Kolchanov NA. A systems approach to morphogenesis in Arabidopsis thaliana: I. AGNS database Biophysics. 51: 75-82. DOI: 10.1134/S0006350906070165 |
0.189 |
|
| 2005 |
Yang CR, Shapiro BE, Hung SP, Mjolsness ED, Hatfield GW. A mathematical model for the branched chain amino acid biosynthetic pathways of Escherichia coli K12. The Journal of Biological Chemistry. 280: 11224-32. PMID 15657047 DOI: 10.1074/Jbc.M411471200 |
0.184 |
|
| 2000 |
Mjolsness E, Mann T, Castaño R, Wold B. From coexpression to coregulation: An approach to inferring transcriptional regulation among gene classes from large-scale expression data Advances in Neural Information Processing Systems. 928-934. |
0.182 |
|
| 2003 |
Chudova D, Gaffney S, Mjolsness E, Smyth P. Translation-invariant mixture models for curve clustering Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 79-88. DOI: 10.1145/956750.956763 |
0.166 |
|
| 2013 |
Mjolsness E. Quantitative symbolic process models: How a fair fraction of intelligence could be abstracted in AI research Aaai Fall Symposium - Technical Report. 50-51. |
0.159 |
|
| 1999 |
Rangarajan A, Chui H, Mjolsness E. A new distance measure for non-rigid image matching Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1654: 237-252. DOI: 10.1007/3-540-48432-9_17 |
0.154 |
|
| 2001 |
Gor V, Castano R, Manduchi R, Anderson RC, Mjolsness E. Autonomous rock detection for mars terrain Aiaa Space 2001 Conference and Exposition. |
0.154 |
|
| 2006 |
Najdi TS, Yang CR, Shapiro BE, Hatfield GW, Mjolsness ED. Application of a generalized MWC model for the mathematical simulation of metabolic pathways regulated by allosteric enzymes. Journal of Bioinformatics and Computational Biology. 4: 335-55. PMID 16819787 DOI: 10.1142/S0219720006001862 |
0.148 |
|
| 2005 |
Najdi TS, Yang CR, Shapiro BE, Hatfield GW, Mjolsness ED. Application of a generalized MWC model for the mathematical simulation of metabolic pathways regulated by allosteric enzymes. Proceedings / Ieee Computational Systems Bioinformatics Conference, Csb. Ieee Computational Systems Bioinformatics Conference. 279-88. PMID 16447985 DOI: 10.1109/CSB.2005.15 |
0.148 |
|
| 1996 |
Gold S, Rangarajan A, Mjolsness E. Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures Neural Computation. 8: 787-804. |
0.147 |
|
| 2003 |
Jönsson H, Shapiro BE, Meyerowitz EM, Mjolsness E. Signalling in multicellular models of plant development On Growth, Form and Computers. 156-161. DOI: 10.1016/B978-012428765-5/50041-4 |
0.131 |
|
| 1996 |
Rangarajan A, Mjolsness ED. A Lagrangian relaxation network for graph matching Ieee Transactions On Neural Networks. 7: 1365-1381. DOI: 10.1109/72.548165 |
0.13 |
|
| 2011 |
Ponomaryov D, Omelianchuk N, Mironova V, Zalevsky E, Podkolodny N, Mjolsness E, Kolchanov N. From published expression and phenotype data to structured knowledge: The arabidopsis gene net supplementary database and its applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6581: 101-120. DOI: 10.1007/978-3-642-22140-8_7 |
0.125 |
|
| 2013 |
Nikolaev SV, Zubairova US, Penenko AV, Mjolsness ED, Shapiro BE, Kolchanov NA. Model of structuring the stem cell niche in shoot apical meristem of Arabidopsis thaliana. Doklady Biological Sciences : Proceedings of the Academy of Sciences of the Ussr, Biological Sciences Sections / Translated From Russian. 452: 316-9. PMID 24150656 DOI: 10.1134/S0012496613050104 |
0.124 |
|
| 2010 |
Najdi TS, Hatfield GW, Mjolsness ED. A 'random steady-state' model for the pyruvate dehydrogenase and alpha-ketoglutarate dehydrogenase enzyme complexes. Physical Biology. 7: 16016. PMID 20228444 DOI: 10.1088/1478-3975/7/1/016016 |
0.124 |
|
| 2005 |
Yang CR, Shapiro BE, Mjolsness ED, Hatfield GW. An enzyme mechanism language for the mathematical modeling of metabolic pathways. Bioinformatics (Oxford, England). 21: 774-80. PMID 15509612 DOI: 10.1093/Bioinformatics/Bti068 |
0.122 |
|
| 2021 |
Scott CB, Mjolsness E. Graph diffusion distance: Properties and efficient computation. Plos One. 16: e0249624. PMID 33905423 DOI: 10.1371/journal.pone.0249624 |
0.11 |
|
| 2001 |
Rangarajan A, Chui H, Mjolsness E. A relationship between spline-based deformable models and weighted graphs in non-rigid matching Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1. |
0.11 |
|
| 2000 |
Atkinson DJ, Chien SA, Mjolsness ED. Applications of artificial intelligence for spacecraft autonomy and enhanced science data return Space 2000 Conference and Exposition. |
0.11 |
|
| 2000 |
Mjolsness E, Tavormina A. Synergy of biology, intelligent systems, and space exploration Ieee Intelligent Systems and Their Applications. 15: 20-25. |
0.105 |
|
| 2007 |
Nikolaev SV, Penenko AV, Lavreha VV, Mjolsness ED, Kolchanov NA. A model study of the role of proteins CLV1, CLV2, CLV3, and WUS in regulation of the structure of the shoot apical meristem Russian Journal of Developmental Biology. 38: 383-388. DOI: 10.1134/S1062360407060069 |
0.095 |
|
| 2004 |
Chudova D, Hart C, Mjolsness E, Smyth P. Gene expression clustering with functional mixture models Advances in Neural Information Processing Systems. |
0.09 |
|
| 1991 |
Fermin P, Mjolsness E, McLeay J, Chisholm L. An innovative approach to maintaining critical skills Nursing Management. 22: 64A-64C. PMID 1986336 |
0.047 |
|
| 2019 |
Alber M, Godin C, Maini PK, Merks R, Mjolsness E. Introduction. Bulletin of Mathematical Biology. PMID 31332600 DOI: 10.1007/s11538-019-00649-2 |
0.03 |
|
| Hide low-probability matches. |