Author

George Henderson

Stanford UniversityORCID 0009-0007-2303-3883Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:benchmarking· 3 Research Focus:differential expression· 3 Research Focus:database / resource· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2

Frequent Co-Authors

Julia SalzmaniD· 4 shared Peter Lincoln WangiD· 4 shared Tavor Z. BaharaviD· 4 shared Kaitlin ChaungiD· 3 shared Ivan N. ZheludeviD· 2 shared Adam GudyśiD· 1 shared Allison F. CareyiD· 1 shared Geno GuerraiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersBioinformatics

Julia SalzmanORCID

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5 papers

Recent·Most cited

Genetic & Genomic Medicinenpj Precision OncologyPeer-reviewedJun 16, 2025

Integration of MRI radiomics and germline genetics to predict the IDH mutation status of gliomas

Taishi C. Nakase, George Henderson, Thomas Barba…·Linda Kachuri

This study integrates MRI radiomics and germline genetics to predict IDH mutation status in gliomas, improving classification accuracy and prognostic risk assessment.

8 citationstop 5%

humanimaging

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BioinformaticsbioRxivPreprintJan 18, 2024

Ultra-efficient, unified discovery from microbial sequencing with SPLASH and precise statistical assembly

George Henderson, Adam Gudyś, Tavor Z. Baharav…·Julia Salzman

The paper introduces SPLASH and compactors to efficiently discover microbial genetic elements and perform strain typing without reference genomes.

4 citations

bacteria (other)whole-genome sequencing

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GenomicsCellPeer-reviewedDec 1, 2023

SPLASH: a statistical, reference-free genomic algorithm unifies biological discovery

Kaitlin Chaung, Tavor Z. Baharav, George Henderson…·Julia Salzman

SPLASH is a unifying, statistically driven approach to biological discovery from raw sequencing data, bypassing alignment.

24 citations

whole-genome sequencingstatistical model

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GenomicsbioRxivPreprintJul 17, 2023

SPLASH: a statistical, reference-free genomic algorithm unifies biological discovery

Kaitlin Chaung, Tavor Z. Baharav, George Henderson…·Julia Salzman

The paper was withdrawn due to duplicate posting and is no longer available for citation.

DOI 10.1101/2023.07.17.549408

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 6, 2022

Unsupervised reference-free inference reveals unrecognized regulated transcriptomic complexity in human single cells

Roozbeh Dehghannasiri, George Henderson, Rob Bierman…·Julia Salzman

SPLASH+ identifies novel transcriptomic diversity in human single cells without reference genomes or cell type metadata.

6 citations

humanscRNA-seq

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