Edoardo M Airoldi

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Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceZweryfikowany adres z cs.cmu.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityZweryfikowany adres z columbia.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UZweryfikowany adres z cs.cmu.edu
Gábor CsárdiPosit PBCZweryfikowany adres z posit.co
Panos ToulisUniversity of Chicago, Booth SchoolZweryfikowany adres z chicagobooth.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraZweryfikowany adres z pstat.ucsb.edu
Margaret E. RobertsPolitical Science, University of California San DiegoZweryfikowany adres z ucsd.edu
Brandon M. StewartPrinceton UniversityZweryfikowany adres z princeton.edu
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons FoundationZweryfikowany adres z princeton.edu
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltZweryfikowany adres z vanderbilt.edu
Tamás NepuszDepartment of Biological Physics, Eötvös Loránd UniversityZweryfikowany adres z hal.elte.hu
Eric WangUniversity of FloridaZweryfikowany adres z ufl.edu
Tuan Q. PhanAssociate Professor of BusinessZweryfikowany adres z hku.hk
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Genetic MedicineZweryfikowany adres z uchicago.edu
Nikolai SlavovNortheastern University, Harvard University, MIT, Princeton UniversityZweryfikowany adres z fas.harvard.edu
Laura ForastiereAssistant ProfessorZweryfikowany adres z yale.edu
David BotsteinPrinceton UniversityZweryfikowany adres z princeton.edu
Dave ChoiCarnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Jean Pouget-AbadieGoogle ResearchZweryfikowany adres z google.com
Patrick J. WolfeProfessor of Statistics, University College LondonZweryfikowany adres z stat.harvard.edu

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Edoardo M Airoldi

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

Zweryfikowany adres z fas.harvard.edu

Statistics Causal Inference Network Science Statistical Machine Learning Artificial Intelligence


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Statistical network analysis with the igraph software package G Csárdi, T Nepusz, EM Airoldi New York, NY: Springer, 2016	13960*	2016
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	13774*	2016
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008	2679	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	2240*	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	1540	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	1162	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	847	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	670	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	511	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	336	2009
Summarizing topical content with word frequency and exclusivity J Bischof, EM Airoldi Proceedings of the 29th international conference on machine learning (icml …, 2012	327	2012
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012	291	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	230	2013
Identification and estimation of treatment and interference effects in observational studies on networks L Forastiere, EM Airoldi, F Mealli Journal of the American Statistical Association, 2021	227	2021
Integrating utility into face de-identification R Gross, E Airoldi, B Malin, L Sweeney International Workshop on Privacy Enhancing Technologies (PET), 227-242, 2005	217	2005
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015	208	2015
Post-transcriptional regulation across human tissues A Franks, E Airoldi, N Slavov PLoS computational biology 13 (5), e1005535, 2017	206	2017
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	206	2015
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	206	2006
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	204	2016

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