Author

Alex M. Mawla

University of California, DavisORCID 0000-0003-0907-464XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Mark O. HuisingiD· 2 shared Daniela Rodriguez· 1 shared Gitanjali RoyiD· 1 shared Michael A. KalwatiD· 1 shared Olivia Lazaro· 1 shared Rameesha Syed· 1 shared Sean McCabeiD· 1 shared Sylvia RobertsoniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Mark O. HuisingORCID

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3 papers

Recent·Most cited

BioinformaticseLifePeer-reviewedSep 22, 2025

Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning

Gitanjali Roy, Rameesha Syed, Olivia Lazaro…·Michael A. Kalwat

This study uses deep transfer learning to identify diabetes- and obesity-associated β-cell subpopulations in single-cell RNA-seq data and validates key genes through immunostaining.

1 citation

humanscRNA-seq

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GenomicsBMC GenomicsPeer-reviewedApr 17, 2023

Chromatin accessibility differences between alpha, beta, and delta cells identifies common and cell type-specific enhancers

Alex M. Mawla, Talitha van der Meulen, Mark O. Huising

14 citations

mouseATAC-seq

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BioinformaticsbioRxivPreprintAug 19, 2021

epiRomics: a multi-omics R package to identify and visualize enhancers

Alex M. Mawla, Mark O. Huising

epiRomics integrates multi-omics data to identify and visualize enhancer regions using ChIP and histone data, with visualization in a stand-alone browser.

1 citation

ChIP-seqstatistical model

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