Chris H Wiggins

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Ilya NemenmanEmory University, Physics and Biology確認したメールアドレス: emory.edu
Jake HofmanSenior Principal Researcher, Microsoft Research確認したメールアドレス: microsoft.com
Raymond E. GoldsteinUniversity of Cambridge確認したメールアドレス: damtp.cam.ac.uk
Aleksandra WalczakLaboratoire de physique théorique, École normale supérieure確認したメールアドレス: lpt.ens.fr
Michael SheetzBiochemistry and Molecular Dept., Univ. of Texas Medical Branch確認したメールアドレス: utmb.edu
Andrea CalifanoColumbia 確認したメールアドレス: c2b2.columbia.edu
Jan-Willem van de MeentUniversity of Amsterdam and Northeastern University確認したメールアドレス: uva.nl
Michael DustinUniversity of Oxford確認したメールアドレス: kennedy.ox.ac.uk
Andrew MuglerAssociate Professor, Department of Physics and Astronomy, University of Pittsburgh確認したメールアドレス: pitt.edu
Iñigo UrteagaIkerbasque Research Fellow, Basque Center for Applied Mathematics (BCAM)確認したメールアドレス: bcamath.org
Christina LeslieMemorial Sloan Kettering Cancer Center確認したメールアドレス: mskcc.org
Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford University確認したメールアドレス: stanford.edu
Noémie ElhadadAssociate Professor and Chair of Biomedical Informatics, Columbia University確認したメールアドレス: cumc.columbia.edu
Riccardo Dalla FaveraProfessor of Genetics確認したメールアドレス: columbia.edu
Albrecht OttUniversität des Saarlandes確認したメールアドレス: physik.uni-saarland.de
Kathy LiColumbia University確認したメールアドレス: columbia.edu
Tasha N. SimsAbbVie, Regeneron, NYU, University of Alberta, Washington University確認したメールアドレス: abbvie.com
Grégory GiannoneCentre National de la Recherche Scientifique確認したメールアドレス: u-bordeaux.fr
Raul RabadanProfessor, Columbia University確認したメールアドレス: cumc.columbia.edu
Thomas R PowersProfessor of Engineering and Physics, Brown University確認したメールアドレス: brown.edu

フォロー

Chris H Wiggins

Associate Professor, Columbia University

確認したメールアドレス: columbia.edu - ホームページ

machine learning statistics computational biology applied mathematics theoretical physics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context AA Margolin, I Nemenman, K Basso, C Wiggins, G Stolovitzky, ... BMC bioinformatics 7 (1), 1-15, 2006	3241	2006
Learning rates and states from biophysical time series: a Bayesian approach to model selection and single-molecule FRET data JE Bronson, J Fei, JM Hofman, RL Gonzalez Jr, CH Wiggins Biophysical journal 97 (12), 3196-3205, 2009	465	2009
Opposing effects of PKCθ and WASp on symmetry breaking and relocation of the immunological synapse TN Sims, TJ Soos, HS Xenias, B Dubin-Thaler, JM Hofman, JC Waite, ... Cell 129 (4), 773-785, 2007	413	2007
Nonmuscle myosin IIA-dependent force inhibits cell spreading and drives F-actin flow Y Cai, N Biais, G Giannone, M Tanase, G Jiang, JM Hofman, CH Wiggins, ... Biophysical journal 91 (10), 3907-3920, 2006	385	2006
Bayesian approach to network modularity JM Hofman, CH Wiggins Physical review letters 100 (25), 258701, 2008	366	2008
Flexive and propulsive dynamics of elastica at low Reynolds number CH Wiggins, RE Goldstein Physical review letters 80 (17), 3879-3882, 1998	307	1998
Trapping and wiggling: Elastohydrodynamics of driven microfilaments CH Wiggins, D Riveline, A Ott, RE Goldstein Biophysical journal 74 (2), 1043-1060, 1998	289	1998
Inferring network mechanisms: the Drosophila melanogaster protein interaction network M Middendorf, E Ziv, CH Wiggins Proceedings of the National Academy of Sciences 102 (9), 3192-3197, 2005	278	2005
Empirical Bayes methods enable advanced population-level analyses of single-molecule FRET experiments JW van de Meent, JE Bronson, CH Wiggins, RL Gonzalez Jr Biophysical journal 106 (6), 1327-1337, 2014	191	2014
Lateral membrane waves constitute a universal dynamic pattern of motile cells HG Döbereiner, BJ Dubin-Thaler, JM Hofman, HS Xenias, TN Sims, ... Physical review letters 97 (3), 038102, 2006	185	2006
Allosteric collaboration between elongation factor G and the ribosomal L1 stalk directs tRNA movements during translation J Fei, JE Bronson, JM Hofman, RL Srinivas, CH Wiggins, RL Gonzalez Jr Proceedings of the National Academy of Sciences 106 (37), 15702-15707, 2009	163	2009
Learning probabilistic phenotypes from heterogeneous EHR data R Pivovarov, AJ Perotte, E Grave, J Angiolillo, CH Wiggins, N Elhadad Journal of biomedical informatics 58, 156-165, 2015	161	2015
Quantification of cell edge velocities and traction forces reveals distinct motility modules during cell spreading BJ Dubin-Thaler, JM Hofman, Y Cai, H Xenias, I Spielman, ... PLoS One 3 (11), e3735, 2008	157	2008
Optimal signal processing in small stochastic biochemical networks E Ziv, I Nemenman, CH Wiggins PloS one 2 (10), e1077, 2007	154	2007
Viscous nonlinear dynamics of twist and writhe RE Goldstein, TR Powers, CH Wiggins Physical review letters 80 (23), 5232-5235, 1998	153	1998
Information-theoretic approach to network modularity E Ziv, M Middendorf, CH Wiggins Physical Review E 71 (4), 046117, 2005	146	2005
Predicting genetic regulatory response using classification M Middendorf, A Kundaje, C Wiggins, Y Freund, C Leslie Bioinformatics 20 (suppl 1), i232-i240, 2004	119	2004
Magma migration and magmatic solitary waves in 3‐D C Wiggins, M Spiegelman Geophysical research letters 22 (10), 1289-1292, 1995	118	1995
Fast dynamics of supercoiled DNA revealed by single-molecule experiments A Crut, DA Koster, R Seidel, CH Wiggins, NH Dekker Proceedings of the National Academy of Sciences 104 (29), 11957-11962, 2007	108	2007
Spectral solutions to stochastic models of gene expression with bursts and regulation A Mugler, AM Walczak, CH Wiggins Physical Review E 80 (4), 041921, 2009	97	2009

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