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

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.

bioRxiv · Jan 18, 2022 · PreprintBioinformatics

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

Yongsheng Li, Brandon Burgman, Ishaani S. Khatri, Sairahul R. Pentaparthi, Zhe Su, Daniel James McGrail, Yang Li, Erxi Wu, S. Gail Eckhardt, Nidhi Sahni, S. Stephen Yi

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

Nucleic Acids Research · Oct 20, 2020Peer-reviewedSystems Biology