Author

Brandon Burgman

The University of Texas at Austin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Assay:CUT&Tag· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Nidhi SahniiD· 2 shared S. Stephen YiiD· 2 shared Daniel James McGrailiD· 1 shared Erxi WuiD· 1 shared Ishaani S. Khatri· 1 shared S. Gail EckhardtiD· 1 shared Sairahul R. PentaparthiiD· 1 shared Xingxin PaniD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Nidhi SahniORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 18, 2022

Deep learning based on multi-omics integration identifies potential therapeutic targets in breast cancer

Xingxin Pan, Brandon Burgman, Nidhi Sahni, S. Stephen Yi

The paper develops a deep learning model integrating multi-omics data to stratify breast cancer patients by prognosis and identify potential therapeutic targets.

6 citations

humanbulk RNA-seq

𝕏 PostBluesky

Systems BiologyNucleic Acids ResearchPeer-reviewedOct 20, 2020

e-MutPath: Computational modelling reveals the functional landscape of genetic mutations rewiring interactome networks

Yongsheng Li, Brandon Burgman, Ishaani S. Khatri…·S. Stephen Yi

e-MutPath identifies edgetic mutations that perturb functional pathways, revealing cancer vulnerability genes and drug targets through network-based analysis.

16 citations

statistical modelgene regulatory network inference

𝕏 PostBluesky