Author

Adam B. Geber

New York UniversityORCID 0000-0003-3022-0525Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 4 Organism:human· 3 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Alexandra GroteiD· 2 shared David J. TophamiD· 2 shared Denis VoroniniD· 2 shared Elodie GhediniD· 2 shared Nathan G. LaniewskiiD· 2 shared A. Karim EmbongiD· 1 shared Adam Tyrlik· 1 shared Andrew GrimsoniD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 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 papersSystems Biology

Alexandra GroteORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

ImmunologybioRxivPreprintMar 9, 2026

Single cell analysis of neonatal naïve CD8α+ T cells reveals novel subsets bridging the innate-adaptive spectrum

Adam B. Geber, Brandon Groff, Jordan B. McMurry…·Kristin M. Scheible

The paper identifies novel neonatal CD8β+ T cell subsets (FITs) with innate-like features, distinct from conventional and unconventional T cells, using cord blood samples.

DOI 10.64898/2026.03.05.706693

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 15, 2022

Fluximplied: A novel approach integrates rate limiting steps and differential expression for pathway analysis

Mike Sportiello, Adam B. Geber, Rohith Palli…·David J. Topham

DOI 10.1101/2022.03.15.484417

humanmouse

𝕏 PostBluesky

Systems BiologyeLifePeer-reviewedAug 10, 2020

Modeling the metabolic interplay between a parasitic worm and its bacterial endosymbiont allows the identification of novel drug targets

David M. Curran, Alexandra Grote, Nirvana Nursimulu…·John Parkinson

The paper models the metabolic interactions between a parasitic worm and its bacterial endosymbiont to identify potential drug targets.

24 citations

humanstatistical model

𝕏 PostBluesky

BioinformaticsPLoS neglected tropical diseasesPeer-reviewedJun 23, 2020

Prediction pipeline for discovery of regulatory motifs associated with Brugia malayi molting

Alexandra Grote, Yichao Li, Canhui Liu…·Elodie Ghedin

The paper develops a motif prediction pipeline to identify regulatory motifs in Brugia malayi, focusing on those involved in the L3-L4 molt stage.

74 citations

DNA methylationstatistical model

𝕏 PostBluesky