Author

Honey V. Reddi

The JAX Cancer CenterPrimary ORCID profile (0000-0003-1280-9993 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Honey V. ReddiiD1 paper · The Jackson Laboratory for Genomic Medicine

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aishling Cooke· 1 shared Alejandra Collazos· 1 shared Alessandro Tomassini· 1 shared Amanda S. Green· 1 shared Ana-Luisa Silva· 1 shared Barnaby W. Balmforth· 1 shared Candace King· 1 shared Carolyn A. PaisieiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Aishling Cooke

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2 papers

Recent·Most cited

Cancer BiologybioRxivFeb 7, 2024

ASPYRE-Lung: Validation of a simple, fast, robust and novel method for multi-variant genomic analysis of actionable NSCLC variants in tissue

Ryan T. Evans, Elizabeth Gillon-Zhang, Julia N. Brown…·Robert J. Osborne

The paper validates ASPYRE-Lung, a method for detecting actionable variants in NSCLC tissue with high sensitivity, specificity, and precision.

DOI 10.3389/fonc.2024.1420162

humanDNA methylation

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 5, 2018

Pan-cancer machine learning predictors of primary site of origin and molecular subtype

William F. Flynn, Sandeep Namburi, Carolyn A. Paisie…·Joshy George

This paper develops machine learning models to predict the primary site of origin and molecular subtype of metastatic cancers using gene expression data from TCGA, achieving high accuracy across multiple cancer types.

5 citations

humanbulk RNA-seq

𝕏 PostBluesky