Edoardo M Airoldi - Google Scholar

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	すべて	2015 年以来
引用	16460	12340
h 指標	43	36
i10 指標	84	71

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共著者

Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social Science確認したメールアドレス: cs.cmu.edu
David BleiProfessor of Statistics and Computer Science, Columbia University確認したメールアドレス: columbia.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon University確認したメールアドレス: cs.cmu.edu
Panagiotis (Panos) ToulisUniversity of Chicago, Booth School確認したメールアドレス: chicagobooth.edu
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons Foundation確認したメールアドレス: princeton.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa Barbara確認したメールアドレス: pstat.ucsb.edu
Bradley MalinProfessor of Biomedical Informatics, Biostatistics, and Computer Science, Vanderbilt確認したメールアドレス: vanderbilt.edu
Eric WangUniversity of Florida確認したメールアドレス: ufl.edu
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Genetic Medicine確認したメールアドレス: uchicago.edu
Tuan Q. PhanAssociate Professor of Business確認したメールアドレス: hku.hk
Nikolai SlavovNortheastern University, MIT, Princeton University, Harvard University確認したメールアドレス: fas.harvard.edu
David BotsteinPrinceton University確認したメールアドレス: princeton.edu
Margaret E. RobertsPolitical Science, University of California San Diego確認したメールアドレス: ucsd.edu
Brandon StewartAssistant Professor of Sociology, Princeton University確認したメールアドレス: princeton.edu
Patrick J. WolfeProfessor of Statistics, University College London確認したメールアドレス: stat.harvard.edu
Dave ChoiCarnegie Mellon University確認したメールアドレス: andrew.cmu.edu
Stanley H. ChanAssociate Professor of Electrical and Computer Engineering, Purdue University確認したメールアドレス: purdue.edu
Gábor CsárdiRStudio確認したメールアドレス: rstudio.com
Guillaume BasseAssistant Professor, MS&E and Statistics, Stanford University確認したメールアドレス: stanford.edu
Alexander VolfovskyDuke University確認したメールアドレス: duke.edu

Edoardo M Airoldi

Professor of Statistics & Data Science, Temple University & PI, Harvard University

確認したメールアドレス: fas.harvard.edu - ホームページ

Statistics Causal Inference Network Science Statistical Machine Learning Computational Biology


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
Guidelines for the use and interpretation of assays for monitoring autophagy DJ Klionsky, K Abdelmohsen, A Abe, MJ Abedin, H Abeliovich, ... Autophagy 12 (1), 1-222, 2016	7024	2016
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008	1962	2008
Analysis and design of RNA sequencing experiments for identifying isoform regulation Y Katz, ET Wang, EM Airoldi, CB Burge Nature methods 7 (12), 1009-1015, 2010	1113	2010
A survey of statistical network models A Goldenberg, AX Zheng, SE Fienberg, EM Airoldi Foundations and Trends in Machine Learning 2 (2), 129-233, 2010	837	2010
Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast MJ Brauer, C Huttenhower, EM Airoldi, R Rosenstein, JC Matese, ... Molecular biology of the cell 19 (1), 352-367, 2008	523	2008
Systems-level dynamic analyses of fate change in murine embryonic stem cells R Lu, F Markowetz, RD Unwin, JT Leek, EM Airoldi, BD MacArthur, ... Nature 462 (7271), 358-362, 2009	268	2009
A model of text for experimentation in the social sciences ME Roberts, BM Stewart, EM Airoldi Journal of the American Statistical Association, 00-00, 2016	255	2016
Reversible, specific, active aggregates of endogenous proteins assemble upon heat stress EWJ Wallace, JL Kear-Scott, EV Pilipenko, MH Schwartz, PR Laskowski, ... Cell 162 (6), 1286-1298, 2015	240	2015
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012	210	2012
The structural topic model and applied social science ME Roberts, BM Stewart, D Tingley, EM Airoldi Advances in neural information processing systems workshop on topic models …, 2013	185*	2013
Mixed membership stochastic block models for relational data with application to protein-protein interactions EM Airoldi, DM Blei, SE Fienberg, EP Xing Proceedings of the international biometrics society annual meeting, 2006	162	2006
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation EM Airoldi, TB Costa, SH Chan Advances in Neural Information Processing Systems (NIPS), 2013	143	2013
Improving and evaluating topic models and other models of text (with discussion) EM Airoldi, JM Bischof Journal of the American Statistical Association 111 (516), 1381-1403, 2016	130*	2016
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast G Csárdi, A Franks, DS Choi, EM Airoldi, DA Drummond PLoS Genetics 11 (5), e1005206, 2015	130	2015
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015	119	2015
Predicting cellular growth from gene expression signatures EM Airoldi, C Huttenhower, D Gresham, C Lu, AA Caudy, MJ Dunham, ... PLoS Computational Biology 5 (1), e1000257, 2009	116	2009
Quantitative visualization of alternative exon expression from RNA-seq data Y Katz, ET Wang, J Silterra, S Schwartz, B Wong, H Thorvaldsdóttir, ... Bioinformatics 31 (14), 2400-2402, 2015	108*	2015
Integrating utility into face de-identification R Gross, E Airoldi, B Malin, L Sweeney International Workshop on Privacy Enhancing Technologies, 227-242, 2005	103	2005
Defining the essential function of yeast Hsf1 reveals a compact transcriptional program for maintaining eukaryotic proteostasis EJ Solís, JP Pandey, X Zheng, DX Jin, PB Gupta, EM Airoldi, D Pincus, ... Molecular Cell, 2016	99	2016
A natural experiment of social network formation and dynamics TQ Phan, EM Airoldi Proceedings of the National Academy of Sciences 112 (21), 6595-6600, 2015	90	2015

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