Edoardo M Airoldi

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Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social ScienceEmail yang diverifikasi di cs.cmu.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail yang diverifikasi di columbia.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UEmail yang diverifikasi di cs.cmu.edu
Gábor CsárdiPosit PBCEmail yang diverifikasi di posit.co
Panos ToulisUniversity of Chicago, Booth SchoolEmail yang diverifikasi di chicagobooth.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraEmail yang diverifikasi di pstat.ucsb.edu
Margaret E. RobertsPolitical Science, University of California San DiegoEmail yang diverifikasi di ucsd.edu
Brandon M. StewartPrinceton UniversityEmail yang diverifikasi di princeton.edu
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons FoundationEmail yang diverifikasi di princeton.edu
Tamás NepuszDepartment of Biological Physics, Eötvös Loránd UniversityEmail yang diverifikasi di hal.elte.hu
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltEmail yang diverifikasi di vanderbilt.edu
Eric WangUniversity of FloridaEmail yang diverifikasi di ufl.edu
Tuan Q. PhanAssociate Professor of BusinessEmail yang diverifikasi di hku.hk
Nikolai SlavovNortheastern University, Harvard University, MIT, Princeton UniversityEmail yang diverifikasi di fas.harvard.edu
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Genetic MedicineEmail yang diverifikasi di uchicago.edu
Laura ForastiereAssociate ProfessorEmail yang diverifikasi di yale.edu
David BotsteinPrinceton UniversityEmail yang diverifikasi di princeton.edu
Dave ChoiCarnegie Mellon UniversityEmail yang diverifikasi di andrew.cmu.edu
Jean Pouget-AbadieGoogle ResearchEmail yang diverifikasi di google.com
Patrick J. WolfeProfessor of Statistics, University College LondonEmail yang diverifikasi di stat.harvard.edu

Ikuti

Edoardo M Airoldi

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

Email yang diverifikasi di fas.harvard.edu

Applied Statistics Causal Inference Network Science Statistical Machine Learning AI


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Statistical network analysis with the igraph software package G Csárdi, T Nepusz, EM Airoldi New York, NY: Springer, 2016	14739*	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	14184*	2016
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008	3119*	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	2472*	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	1566	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	1188	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	910	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	675	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	535	2015
Summarizing topical content with word frequency and exclusivity J Bischof, EM Airoldi Proceedings of the 29th international conference on machine learning (icml …, 2012	359	2012
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	335	2009
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012	297	2012
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	254	2021
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation EM Airoldi, TB Costa, SH Chan Advances in Neural Information Processing Systems (NIPS), 2013	240	2013
Integrating utility into face de-identification R Gross, E Airoldi, B Malin, L Sweeney International Workshop on Privacy Enhancing Technologies (PET), 227-242, 2005	226	2005
Post-transcriptional regulation across human tissues A Franks, E Airoldi, N Slavov PLoS computational biology 13 (5), e1005535, 2017	222	2017
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015	219	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	213	2016
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	212	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	210	2015

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