Edoardo M Airoldi
Edoardo M Airoldi
Professor of Statistics & Data Science, Temple University & PI, Harvard University
Adresse e-mail validée de fas.harvard.edu - Page d'accueil
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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
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of Machine Learning Research 9 (3), 1981-2014, 2008
Analysis and design of RNA sequencing experiments for identifying isoform regulation
Y Katz, ET Wang, EM Airoldi, CB Burge
Nature methods 7 (12), 1009-1015, 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
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
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
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
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
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
Stochastic blockmodels with a growing number of classes
DS Choi, PJ Wolfe, EM Airoldi
Biometrika 99 (2), 273-284, 2012
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
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
EM Airoldi, TB Costa, SH Chan
Advances in Neural Information Processing Systems (NIPS), 2013
Improving and evaluating topic models and other models of text (with discussion)
EM Airoldi, JM Bischof
Journal of the American Statistical Association 111 (516), 1381-1403, 2016
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
Differential stoichiometry among core ribosomal proteins
N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden
Cell Reports, 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
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
Integrating utility into face de-identification
R Gross, E Airoldi, B Malin, L Sweeney
International Workshop on Privacy Enhancing Technologies, 227-242, 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
A natural experiment of social network formation and dynamics
TQ Phan, EM Airoldi
Proceedings of the National Academy of Sciences 112 (21), 6595-6600, 2015
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