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 | 13624* | 2016 |
Statistical network analysis with the igraph software package G Csárdi, T Nepusz, EM Airoldi New York, NY: Springer, 2016 | 13450* | 2016 |
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008 | 2640 | 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 | 2083* | 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 | 1511 | 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 | 1146 | 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 | 801 | 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 | 663 | 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 | 495 | 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 | 335 | 2009 |
Summarizing topical content with word frequency and exclusivity J Bischof, EM Airoldi Proceedings of the 29th international conference on machine learning (icml …, 2012 | 312 | 2012 |
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012 | 288 | 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 | 222 | 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 | 208 | 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 | 206 | 2005 |
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015 | 203 | 2015 |
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 | 203 | 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 | 202 | 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 | 199 | 2016 |
Post-transcriptional regulation across human tissues A Franks, E Airoldi, N Slavov PLoS computational biology 13 (5), e1005535, 2017 | 195 | 2017 |