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Author Details
Full Name
Edoardo M Airoldi
Affiliation
Temple University
ORCID
Career Start Year
2007
Papers
50
H Index
20
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36279463
Estimating the total treatment effect in randomized experiments with unknown network structure.
Proc Natl Acad Sci U S A
2022
36279463
Estimating the total treatment effect in randomized experiments with unknown network structure.
Proc Natl Acad Sci U S A
2022
33100477
Estimation of Covid-19 prevalence from serology tests: A partial identification approach.
J Econom
2021
34030853
Strengthsand Limitations of Machine Learning in Surgical Care.
J Am Coll Surg
2021
33100477
Estimation of Covid-19 prevalence from serology tests: A partial identification approach.
J Econom
2021
34030853
Strengthsand Limitations of Machine Learning in Surgical Care.
J Am Coll Surg
2021
32723822
Nonstandard conditionally specified models for nonignorable missing data.
Proc Natl Acad Sci U S A
2020
32887799
Stacking models for nearly optimal link prediction in complex networks.
Proc Natl Acad Sci U S A
2020
32723822
Nonstandard conditionally specified models for nonignorable missing data.
Proc Natl Acad Sci U S A
2020
32887799
Stacking models for nearly optimal link prediction in complex networks.
Proc Natl Acad Sci U S A
2020
30282776
Quantifying Homologous Proteins and Proteoforms.
Mol Cell Proteomics
2019
32704522
The Structure of Negative Social Ties in Rural Village Networks.
Sociol Sci
2019
30282776
Quantifying Homologous Proteins and Proteoforms.
Mol Cell Proteomics
2019
32704522
The Structure of Negative Social Ties in Rural Village Networks.
Sociol Sci
2019
29395071
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis.
Mol Cell
2018
36506698
REFINING CELLULAR PATHWAY MODELS USING AN ENSEMBLE OF HETEROGENEOUS DATA SOURCES.
Ann Appl Stat
2018
31558815
Cyclic motifs in the Sardex monetary network.
Nat Hum Behav
2018
29395071
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis.
Mol Cell
2018
36506698
REFINING CELLULAR PATHWAY MODELS USING AN ENSEMBLE OF HETEROGENEOUS DATA SOURCES.
Ann Appl Stat
2018
31558815
Cyclic motifs in the Sardex monetary network.
Nat Hum Behav
2018
28289044
Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras.
BMJ Open
2017
28481885
Post-transcriptional regulation across human tissues.
PLoS Comput Biol
2017
28289044
Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras.
BMJ Open
2017
28481885
Post-transcriptional regulation across human tissues.
PLoS Comput Biol
2017
26799652
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Autophagy
2016
26799652
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Autophagy
2016
27320198
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis.
Mol Cell
2016
26941329
Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogen.
Mol Biol Cell
2016
27623011
A computational approach to map nucleosome positions and alternative chromatin states with base pair resolution.
Elife
2016
27623011
A computational approach to map nucleosome positions and alternative chromatin states with base pair resolution.
Elife
2016
27320198
Defining the Essential Function of Yeast Hsf1 Reveals a Compact Transcriptional Program for Maintaining Eukaryotic Proteostasis.
Mol Cell
2016
26941329
Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogen.
Mol Biol Cell
2016
25617416
Quantitative visualization of alternative exon expression from RNA-seq data.
Bioinformatics
2015
25918037
A Multivariate Computational Method to Analyze High-Content RNAi Screening Data.
J Biomol Screen
2015
25617416
Quantitative visualization of alternative exon expression from RNA-seq data.
Bioinformatics
2015
25902504
Predicting traffic volumes and estimating the effects of shocks in massive transportation systems.
Proc Natl Acad Sci U S A
2015
25964337
A natural experiment of social network formation and dynamics.
Proc Natl Acad Sci U S A
2015
25954056
Estimating a structured covariance matrix from multi-lab measurements in high-throughput biology.
J Am Stat Assoc
2015
25950722
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast.
PLoS Genet
2015
26139959
Scalable estimation strategies based on stochastic approximations: Classical results and new insights.
Stat Comput
2015
26565899
Differential Stoichiometry among Core Ribosomal Proteins.
Cell Rep
2015
26359986
Reversible, Specific, Active Aggregates of Endogenous Proteins Assemble upon Heat Stress.
Cell
2015
26359986
Reversible, Specific, Active Aggregates of Endogenous Proteins Assemble upon Heat Stress.
Cell
2015
26565899
Differential Stoichiometry among Core Ribosomal Proteins.
Cell Rep
2015
26139959
Scalable estimation strategies based on stochastic approximations: Classical results and new insights.
Stat Comput
2015
25918037
A Multivariate Computational Method to Analyze High-Content RNAi Screening Data.
J Biomol Screen
2015
25902504
Predicting traffic volumes and estimating the effects of shocks in massive transportation systems.
Proc Natl Acad Sci U S A
2015
25964337
A natural experiment of social network formation and dynamics.
Proc Natl Acad Sci U S A
2015
25954056
Estimating a structured covariance matrix from multi-lab measurements in high-throughput biology.
J Am Stat Assoc
2015
25950722
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast.
PLoS Genet
2015
1 - 50 of 100
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and Barnett Institute, Northeastern University
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Lewis-Sigler Institute for Integrative Genomics, Princeton University
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2
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Duke University
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Queen's University Belfast
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1
David M Sabatini
Whitehead Institute for Biomedical Research and Massachusetts Institute of Technology
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Arianna L Kim
Co-authored papers
1
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Broad Institute of MIT and Harvard
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1
Carlos L??pez-Ot??n
Instituto Universitario de Oncologia, Universidad de Oviedo
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1
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