Matthew Stephens

Matthew Stephens

University of Chicago

H-index: 88

North America-United States

About Matthew Stephens

Matthew Stephens, With an exceptional h-index of 88 and a recent h-index of 66 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Statistics, Genetics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

A pairwise cytokine code explains the organism-wide response to sepsis

Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca

Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model

Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition

Package ‘varbvs’

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

Concept Environmental and Social Review Summary (ESRS)-Regional Policy Dialogue and Knowledge Exchange on Development Responses to Forced Displacement in the Horn of Africa-P180799

Matthew Stephens Information

University

Position

___

Citations(all)

130100

Citations(since 2020)

46285

Cited By

103700

hIndex(all)

88

hIndex(since 2020)

66

i10Index(all)

146

i10Index(since 2020)

128

Email

University Profile Page

University of Chicago

Google Scholar

View Google Scholar Profile

Matthew Stephens Skills & Research Interests

Statistics

Genetics

Top articles of Matthew Stephens

Title

Journal

Author(s)

Publication Date

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

Nature Genetics

Siming Zhao

Wesley Crouse

Sheng Qian

Kaixuan Luo

Matthew Stephens

...

2024/1/26

A pairwise cytokine code explains the organism-wide response to sepsis

Nature Immunology

Michihiro Takahama

Ashwini Patil

Gabriella Richey

Denis Cipurko

Katherine Johnson

...

2024/1/8

Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca

bioRxiv

Eric Weine

Peter Carbonetto

Matthew Stephens

2024

Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model

bioRxiv

Yuxin Zou

Peter Carbonetto

Dongyue Xie

Gao Wang

Matthew Stephens

2023/4/14

Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition

bioRxiv

Yusha Liu

Peter Carbonetto

Jason Willwerscheid

Scott A Oakes

Kay F Macleod

...

2023/8/17

Package ‘varbvs’

Peter Carbonetto

Matthew Stephens

David Gerard

2023/5/31

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

Genome Biology

Peter Carbonetto

Kaixuan Luo

Abhishek Sarkar

Anthony Hung

Karl Tayeb

...

2023/10/19

Concept Environmental and Social Review Summary (ESRS)-Regional Policy Dialogue and Knowledge Exchange on Development Responses to Forced Displacement in the Horn of Africa-P180799

Lorena Vinuela

2023/9/20

Organism-Wide Analysis of Sepsis Reveals Mechanisms of Systemic Inflammation

bioRxiv

Michihiro Takahama

Ashwini Patil

Katherine Johnson

Denis Cipurko

Yoshimi Miki

...

2023/2/2

The Bayesian lens and Bayesian blinkers

Matthew Stephens

2023/5/15

Methods and materials for canine breed identification

2023/9/7

A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes

PLoS Genetics

Fabio Morgante

Peter Carbonetto

Gao Wang

Yuxin Zou

Abhishek Sarkar

...

2023/7/7

Empirical Bayes Covariance Decomposition, and a solution to the Multiple Tuning Problem in Sparse PCA

arXiv preprint arXiv:2312.03274

Joonsuk Kang

Matthew Stephens

2023/12/6

Fine-mapping studies distinguish genetic risks for childhood-and adult-onset asthma in the HLA region

Genome Medicine

Selene M Clay

Nathan Schoettler

Andrew M Goldstein

Peter Carbonetto

Matthew Dapas

...

2022/5/24

A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression

arXiv preprint arXiv:2208.10910

Youngseok Kim

Wei Wang

Peter Carbonetto

Matthew Stephens

2022/8/23

Appraisal Environmental and Social Review Summary (ESRS)-Development Response to Displacement Impacts Project in the Horn of Africa Phase II-P178047

Lorena Vinuela

2023/5/14

SARS‐CoV‐2 infection and venous thromboembolism after surgery: an international prospective cohort study

Anaesthesia

COVIDSurg Collaborative

GlobalSurg Collaborative

Dmitri Nepogodiev

Joana FF Simoes

Elizabeth Li

...

2022/1

Fine-mapping from summary data with the “Sum of Single Effects” model

PLoS Genetics

Yuxin Zou

Peter Carbonetto

Gao Wang

Matthew Stephens

2022/7/19

A flexible model for correlated count data, with application to analysis of gene expression differences in multi-condition experiments

arXiv preprint arXiv:2210.00697

Yusha Liu

Peter Carbonetto

Michihiro Takahama

Adam Gruenbaum

Dongyue Xie

...

2022/10/3

Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis”

Journal of the American Statistical Association

Bradley Efron

2022/9/14

See List of Professors in Matthew Stephens University(University of Chicago)