Gregory B Gloor

11PUBLICATIONS
18CO-AUTHORS
Gene expression (incl. microarray and other genome-wide approaches)Microbial geneticsBiologically active moleculesStochastic analysis and modellingMicrobial taxonomy
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Publications (11)

|Sep 08, 2026
Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data.

|Feb 04, 2026
Incorporating Scale Uncertainty into Differential Expression Analyses Using ALDEx2.

Scott J Dos Santos, Gregory B Gloor

|Jan 15, 2026
Machine learning reveals sequence and methylation determinants of SaCas9-PAM interactions in bacteria.

Dalton T Ham, Tyler S Browne, Claire Q Zhang

|Aug 21, 2025
Explicit Scale Simulation for analysis of RNA-sequencing count data with ALDEx2.

Gregory B Gloor, Michelle Pistner Nixon, Justin D Silverman

|Apr 15, 2024
Beyond Normalization: Incorporating Scale Uncertainty in Microbiome and Gene Expression Analysis.

Michelle Pistner Nixon, Gregory B Gloor, Justin D Silverman

|Sep 07, 2023
A generalizable Cas9/sgRNA prediction model using machine transfer learning with small high-quality datasets.

Dalton T Ham, Tyler S Browne, Pooja N Banglorewala

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Frequent Collaborators

3 joint publications

David R Edgell

2 joint publications

Scott J Dos Santos

2 joint publications

Tyler S Browne

2 joint publications

Gregory M Pellegrino