Edoardo M Airoldi
Edoardo M Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
Vahvistettu sähköpostiosoite verkkotunnuksessa
Statistical network analysis with the igraph software package
G Csárdi, T Nepusz, EM Airoldi
New York, NY: Springer, 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
Mixed membership stochastic blockmodels
EM Airoldi, DM Blei, SE Fienberg, EP Xing
Journal of Machine Learning Research 9 (3), 1981-2014, 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
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
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
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
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
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
Summarizing topical content with word frequency and exclusivity
J Bischof, EM Airoldi
Proceedings of the 29th international conference on machine learning (icml …, 2012
Stochastic blockmodels with a growing number of classes
DS Choi, PJ Wolfe, EM Airoldi
Biometrika 99 (2), 273-284, 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
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
Integrating utility into face de-identification
R Gross, E Airoldi, B Malin, L Sweeney
International Workshop on Privacy Enhancing Technologies (PET), 227-242, 2005
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
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
Differential stoichiometry among core ribosomal proteins
N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden
Cell Reports, 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
Post-transcriptional regulation across human tissues
A Franks, E Airoldi, N Slavov
PLoS computational biology 13 (5), e1005535, 2017
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Artikkelit 1–20