Author

Michael Allen Langston

University of Tennessee at KnoxvilleORCID 0000-0001-5945-5796Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Approach:statistical model· 2 Organism:C. elegans· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Elissa J. ChesleriD· 2 shared Erich J. BakeriD· 2 shared Jason A. BubieriD· 2 shared Timothy ReynoldsiD· 2 shared Axis Fuksman-Kumpa· 1 shared George L. SutphiniD· 1 shared Ian Andrew CockburniD· 1 shared Raymond Lin· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Elissa J. CheslerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 11, 2025

Liver sinusoid constraints make random search of CD8 T cells for Plasmodium parasites efficient

Viktor S. Zenkov, Ian Andrew Cockburn, Raymond Lin…·Vitaly V. Ganusov

The paper shows that random search by CD8 T cells for Plasmodium parasites is efficient in liver sinusoids, challenging the need for attraction-based search.

DOI 10.1101/2025.10.11.681610

mouseimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 11, 2020

Finding human gene-disease associations using a Network Enhanced Similarity Search (NESS) of multi-species heterogeneous functional genomics data

Timothy Reynolds, Jason A. Bubier, Michael Allen Langston…·Erich J. Baker

This paper introduces NESS, a tool that improves gene-disease association discovery by leveraging multi-species functional genomics data and network analysis to overcome data sparsity and bias.

2 citations

humanmouse

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedApr 12, 2019

Integration of heterogeneous functional genomics data in gerontology research identifies genes and pathway underlying aging across species

Jason A. Bubier, George L. Sutphin, Timothy Reynolds…·Elissa J. Chesler

The paper integrates heterogeneous functional genomics data across species to identify genes and pathways underlying aging, finding Cd63 as a key gene with lifespan-extending effects in C. elegans.

6 citations

C. elegansbulk RNA-seq

𝕏 PostBluesky