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 |
0.681 |
|
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 |
0.373 |
|
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 |
0.682 |
|
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 |
|
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