Author

Silvia G. Hererra

University of North Carolina at Chapel HillORCID 0009-0006-2807-4601Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Jen Jen YehiD· 2 shared Naim U. RashidiD· 2 shared Shawn M. GomeziD· 2 shared Alina Cornelia IugaiD· 1 shared Arthi Hariharan· 1 shared Ashley B. MorrisoniD· 1 shared Ashley M. CliffiD· 1 shared Brian A. Belt· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Jen Jen YehORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GenomicsCell Reports MedicinePeer-reviewedFeb 1, 2026

Determination of permissive and restraining cancer-associated fibroblast (DeCAF) subtypes

Xianlu Laura Peng, Ian C. McCabe, Elena V. Kharitonova…·Jen Jen Yeh

The paper develops a classifier, DeCAF, to identify permissive and restraining cancer-associated fibroblast subtypes from bulk RNAseq data and validates its clinical relevance across multiple cancer types.

8 citationstop 2%

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 21, 2021

Kinome state is predictive of cell viability in pancreatic cancer tumor and stroma cell lines

Matthew E. Berginski, Madison R. Jenner, Chinmaya U. Joisa…·Shawn M. Gomez

The paper links kinome state with cell viability in PDAC tumor and stroma cell lines using regression and classification models, finding predictive relationships and key kinases driving viability responses.

6 citations

humanproteomics

𝕏 PostBluesky