Edoardo M Airoldi

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Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceVerified email at cs.cmu.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Gábor CsárdiRStudioVerified email at rstudio.com
Panagiotis (Panos) ToulisUniversity of Chicago, Booth SchoolVerified email at chicagobooth.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraVerified email at pstat.ucsb.edu
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons FoundationVerified email at princeton.edu
Margaret E. RobertsPolitical Science, University of California San DiegoVerified email at ucsd.edu
Brandon M. StewartPrinceton UniversityVerified email at princeton.edu
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltVerified email at vanderbilt.edu
Tamás NepuszDepartment of Biological Physics, Eötvös Loránd UniversityVerified email at hal.elte.hu
Eric WangUniversity of FloridaVerified email at ufl.edu
Tuan Q. PhanAssociate Professor of BusinessVerified email at hku.hk
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Genetic MedicineVerified email at uchicago.edu
Nikolai SlavovNortheastern University, Harvard University, MIT, Princeton UniversityVerified email at fas.harvard.edu
David BotsteinPrinceton UniversityVerified email at princeton.edu
Dave ChoiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Patrick J. WolfeProfessor of Statistics, University College LondonVerified email at stat.harvard.edu
Jean Pouget-AbadieGoogle ResearchVerified email at google.com
Laura ForastiereAssistant ProfessorVerified email at yale.edu

Edoardo M Airoldi

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

Verified email at fas.harvard.edu

Statistics Causal Inference Network Science Statistical Machine Learning Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	12341*	2016
Statistical network analysis with the igraph software package G Csárdi, T Nepusz, EM Airoldi New York, NY: Springer, 2016	11610*	2016
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008	2482	2008
The structural topic model and applied social science ME Roberts, BM Stewart, D Tingley, EM Airoldi NIPS Workshop on Topic Models: Computation, Application, and Evaluation 4, 1-20, 2013	1562*	2013
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	1424	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	1087	2010
A model of text for experimentation in the social sciences ME Roberts, BM Stewart, EM Airoldi Journal of the American Statistical Association 111 (515), 988-1003, 2016	636	2016
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	623	2008
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	415	2015
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	315	2009
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012	275	2012
Summarizing topical content with word frequency and exclusivity J Bischof, EM Airoldi Proceedings of the 29th international conference on machine learning (icml …, 2012	238	2012
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation EM Airoldi, TB Costa, SH Chan Advances in Neural Information Processing Systems (NIPS), 2013	203	2013
Mixed membership stochastic block models for relational data with application to protein-protein interactions EM Airoldi, DM Blei, SE Fienberg, EP Xing ENAR International Biometrics Society Annual Meeting, 2006	198	2006
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	190	2015
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015	188	2015
Integrating utility into face de-identification R Gross, E Airoldi, B Malin, L Sweeney International Workshop on Privacy Enhancing Technologies (PET), 227-242, 2005	180	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	169	2016
Quantitative visualization of alternative exon expression from RNA-seq data Y Katz, ET Wang, J Silterra, S Schwartz, B Wong, H Thorvaldsdottir, ... Bioinformatics 31 (14), 2400-2402, 2015	168*	2015
Post-transcriptional regulation across human tissues A Franks, E Airoldi, N Slavov PLoS computational biology 13 (5), e1005535, 2017	160	2017

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