Edoardo M Airoldi - Citazioni di Google Scholar

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Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceEmail verificata su cs.cmu.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail verificata su columbia.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityEmail verificata su cs.cmu.edu
Panagiotis (Panos) ToulisUniversity of Chicago, Booth SchoolEmail verificata su chicagobooth.edu
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons FoundationEmail verificata su princeton.edu
Bradley MalinProfessor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltEmail verificata su vanderbilt.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraEmail verificata su pstat.ucsb.edu
Eric WangUniversity of FloridaEmail verificata su ufl.edu
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Human GeneticsEmail verificata su uchicago.edu
David BotsteinPrinceton UniversityEmail verificata su princeton.edu
Tuan Q. PhanAssociate Professor of BusinessEmail verificata su hku.hk
Nikolai SlavovNortheastern University, MIT, Princeton University, Harvard UniversityEmail verificata su fas.harvard.edu
Patrick J. WolfeProfessor of Statistics, University College LondonEmail verificata su stat.harvard.edu
Margaret E. RobertsPolitical Science, University of California San DiegoEmail verificata su ucsd.edu
Brandon StewartAssistant Professor of Sociology, Princeton UniversityEmail verificata su princeton.edu
Dave ChoiCarnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Stanley H. ChanAssistant Professor of Electrical and Computer Engineering, Purdue UniversityEmail verificata su purdue.edu
Gábor CsárdiRStudioEmail verificata su rstudio.com
Guillaume BasseAssistant Professor, MS&E and Statistics, Stanford UniversityEmail verificata su stanford.edu
Alexander VolfovskyDuke UniversityEmail verificata su duke.edu

Edoardo M Airoldi

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

Email verificata su fas.harvard.edu - Home page

Statistics Causal Inference Network Science Statistical Machine Learning Computational Biology


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	6572	2016
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008	1847	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, 2010	1065	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	789	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	501	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	262	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	217	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	205	2015
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012	199	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	165*	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	152	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	130	2013
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	117	2015
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015	107	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	107	2009
Integrating utility into face de-identification R Gross, E Airoldi, B Malin, L Sweeney International Workshop on Privacy Enhancing Technologies, 227-242, 2005	100	2005
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	99*	2015
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	92	2016
A network analysis model for disambiguation of names in lists B Malin, E Airoldi, KM Carley Computational & Mathematical Organization Theory 11 (2), 119-139, 2005	87	2005
Summarizing topical content with word frequency and exclusivity J Bischof, EM Airoldi Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012	83	2012

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