Author

Jessica L. Epps

Baylor College of MedicineORCID 0000-0003-1966-1557Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Cell Biology· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 4 Research Focus:cell type annotation· 4 Research Focus:differential expression· 4 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Approach:statistical model· 3 Approach:experimental assay· 2 Assay:ATAC-seq· 1

Frequent Co-Authors

Hua‐Sheng ChiuiD· 3 shared Mohammad Javad Najaf Panah· 3 shared Pavel SumaziniD· 3 shared Barry Zorman· 2 shared Michael KruegeriD· 2 shared Sonal Somvanshi· 2 shared Tsz‐Kwong ManiD· 2 shared Alexandra McLean StevensiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersGenomics

Hua‐Sheng ChiuORCID

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4 papers

Recent·Most cited

Cell BiologybioRxivPreprintSep 20, 2026

SIM2s coordinates programmed mitophagy with respiratory chain supercomplex remodeling during mammary epithelial differentiation

Ramsey M. Jenschke, Madelyn Spooner-Harris, Steven W. Wall…·Weston W. Porter

DOI 10.64898/2026.09.14.750442

𝕏 PostBluesky

GenomicsJournal of HepatologyPeer-reviewedFeb 28, 2026

Asynchronous Transitions from Hepatoblastoma to Carcinoma in High-Risk Pediatric Tumors

Xinjian Yu, Stephen Frederick Sarabia, Martin Urbicain…·Pavel Sumazin

The paper characterizes hepatoblastoma with carcinoma features (HBCs) using multi-omics data, revealing their heterogeneous composition, worse outcomes, and origin from arrested HB cells due to WNT signaling.

1 citation

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Cancer BiologybioRxivPreprintSep 25, 2025

Characterization of Chemoresistant Cell Populations Improves Risk Stratification and Therapy Prediction in Pediatric AML

Mohammad Javad Najaf Panah, Alexandra McLean Stevens, Michael Krueger…·Pavel Sumazin

The paper identifies chemoresistant cell populations in pediatric AML that improve risk prediction and reveal therapeutic targets for high-risk patients.

DOI 10.1101/2025.09.25.678688

humanbulk RNA-seq

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Systems BiologyGenome biologyPeer-reviewedAug 1, 2023

Effective methods for bulk RNA-Seq deconvolution using scnRNA-Seq transcriptomes

Francisco Avila Cobos, Mohammad Javad Najaf Panah, Jessica L. Epps…·Pavel Sumazin

The paper evaluates deconvolution methods for bulk RNA-Seq using scnRNA-Seq data, identifies biases, and introduces SQUID, a method that outperforms others in predicting cell mixtures and identifying cancer subclones.

64 citationstop 2%

humanbulk RNA-seq

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