Edoardo M Airoldi
Edoardo M Airoldi
Professor of Statistics & Data Science, Temple University & PI, Harvard University
確認したメール アドレス: fas.harvard.edu - ホームページ
タイトル引用先
Guidelines for the use and interpretation of assays for monitoring autophagy
DJ Klionsky, FC Abdalla, H Abeliovich, RT Abraham, A Acevedo-Arozena, ...
Autophagy 8 (4), 445-544, 2012
5962*2012
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of Machine Learning Research 9 (3), 1981-2014, 2008
17252008
Analysis and design of RNA sequencing experiments for identifying isoform regulation
Y Katz, ET Wang, EM Airoldi, CB Burge
Nature methods 7 (12), 1009, 2010
9812010
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
7132010
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
4742008
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, 2009
2472009
Stochastic blockmodels with a growing number of classes
DS Choi, PJ Wolfe, EM Airoldi
Biometrika 99 (2), 273-284, 2012
1882012
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
1752016
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
1622015
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
144*2013
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
1372006
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
EM Airoldi, TB Costa, SH Chan
Advances in Neural Information Processing Systems (NIPS), 2013
1182013
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
1062015
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
1032009
Integrating utility into face de-identification
R Gross, E Airoldi, B Malin, L Sweeney
International Workshop on Privacy Enhancing Technologies, 227-242, 2005
952005
Differential stoichiometry among core ribosomal proteins
N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden
Cell Reports, 2015
912015
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
83*2015
A network analysis model for disambiguation of names in lists
B Malin, E Airoldi, KM Carley
Computational & Mathematical Organization Theory 11 (2), 119-139, 2005
802005
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
782016
Handbook of Mixed Membership Models and Their Applications
EM Airoldi, DM Blei, EA Erosheva, SE Fienberg
Chapman & Hall/CRC, 2014
752014
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