T. M. Murali

T. M. Murali

Virginia Polytechnic Institute and State University

H-index: 32

North America-United States

About T. M. Murali

T. M. Murali, With an exceptional h-index of 32 and a recent h-index of 20 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Computational systems biology, computationally-driven experimental biology, design and analysis of algorithms.

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

Comparative transcriptomic and phenotypic analysis of induced pluripotent stem cell hepatocyte-like cells and primary human hepatocytes

ICoN: Integration using Co-attention across Biological Networks

Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes

Predictive models of long COVID

Current and future directions in network biology

Computational Construction of Toxicant Signaling Networks

Flud: A hybrid crowd–algorithm approach for visualizing biological networks

Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs (preprint)

T. M. Murali Information

University

Position

Department of Computer Science

Citations(all)

5270

Citations(since 2020)

1665

Cited By

4236

hIndex(all)

32

hIndex(since 2020)

20

i10Index(all)

58

i10Index(since 2020)

35

Email

University Profile Page

Virginia Polytechnic Institute and State University

Google Scholar

View Google Scholar Profile

T. M. Murali Skills & Research Interests

Computational systems biology

computationally-driven experimental biology

design and analysis of algorithms

Top articles of T. M. Murali

Title

Journal

Author(s)

Publication Date

Comparative transcriptomic and phenotypic analysis of induced pluripotent stem cell hepatocyte-like cells and primary human hepatocytes

Cell and Tissue Research

Neeti Gandhi

Lauren Wills

Kyle Akers

Yiqi Su

Parker Niccum

...

2024/2/19

ICoN: Integration using Co-attention across Biological Networks

bioRxiv

Nure Tasnina

TM Murali

2024

Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes

EBioMedicine

Justin T Reese

Hannah Blau

Elena Casiraghi

Timothy Bergquist

Johanna J Loomba

...

2023/1/1

Predictive models of long COVID

EBioMedicine

Blessy Antony

Hannah Blau

Elena Casiraghi

Johanna J Loomba

Tiffany J Callahan

...

2023/10/1

Current and future directions in network biology

arXiv preprint arXiv:2309.08478

Marinka Zitnik

Michelle M Li

Aydin Wells

Kimberly Glass

Deisy Morselli Gysi

...

2023/9/15

Computational Construction of Toxicant Signaling Networks

Chemical Research in Toxicology

Jeffrey N Law

Sophia M Orbach

Bronson R Weston

Peter A Steele

Padmavathy Rajagopalan

...

2023/7/20

Flud: A hybrid crowd–algorithm approach for visualizing biological networks

ACM Transactions on Computer-Human Interaction (TOCHI)

Aditya Bharadwaj

David Gwizdala

Yoonjin Kim

Kurt Luther

TM Murali

2022/1/7

Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs (preprint)

Justin Reese

Hannah Blau

Timothy Bergquist

Johanna Loomba

Tiffany Callahan

...

2022

Gene regulatory network inference in single-cell biology

Kyle Akers

TM Murali

2021/6/1

Accurate and efficient gene function prediction using a multi-bacterial network

Bioinformatics

Jeffrey N Law

Shiv D Kale

TM Murali

2021/3/15

Interpretable network propagation with application to expanding the repertoire of human proteins that interact with SARS-CoV-2

GigaScience

Jeffrey N Law

Kyle Akers

Nure Tasnina

Catherine M Della Santina

Shay Deutsch

...

2021/12

Modeling and analysis of the macronutrient signaling network in budding yeast

Molecular biology of the cell

Amogh P Jalihal

Pavel Kraikivski

TM Murali

John J Tyson

2021/11/1

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

Nature methods

Aditya Pratapa

Amogh P Jalihal

Jeffrey N Law

Aditya Bharadwaj

TM Murali

2020/2

Identifying Human Interactors of SARS-CoV-2 Proteins and Drug Targets for COVID-19 using Network-Based Label Propagation (preprint)

Jeffrey N Law

Kyle Akers

Nure Tasnina

Catherine M Della Santina

Meghana Kshirsagar

...

2020/6/22

Data integration through heterogeneous ensembles for protein function prediction

Biorxiv

Linhua Wang

Jeffrey Law

TM Murali

Gaurav Pandey

2020

How to build regulatory networks from single-cell gene expression data

Aditya Pratapa

Amogh P Jalihal

Jeffrey N Law

Aditya Bharadwaj

TM Murali

2020/9/21

Protein sequence models for prediction and comparative analysis of the SARS-CoV-2—human interactome

Meghana Kshirsagar

Nure Tasnina

Michael D Ward

Jeffrey N Law

TM Murali

...

2020

Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants

NPJ systems biology and applications

Jenna E Gallegos

Neil R Adames

Mark F Rogers

Pavel Kraikivski

Aubrey Ibele

...

2020/5/6

Computational Advances in Bio and Medical Sciences: 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15–17, 2019, Revised Selected Papers

Ion Măndoiu

TM Murali

Giri Narasimhan

Sanguthevar Rajasekaran

Pavel Skums

...

2020/4/28

See List of Professors in T. M. Murali University(Virginia Polytechnic Institute and State University)

Co-Authors

H-index: 148
Leonidas Guibas

Leonidas Guibas

Stanford University

H-index: 75
John J. Tyson

John J. Tyson

Virginia Polytechnic Institute and State University

H-index: 58
Bruno Sobral

Bruno Sobral

Colorado State University

H-index: 57
Simon Kasif

Simon Kasif

Boston University

H-index: 54
Sariel Har-Peled

Sariel Har-Peled

University of Illinois at Urbana-Champaign

H-index: 48
Alexey Onufriev

Alexey Onufriev

Virginia Polytechnic Institute and State University

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