Author

Chih Hao Wu

National Institutes of HealthORCID 0000-0001-8964-2365Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

S. Cenk ŞahinalpiD· 2 shared Salem MalikićiD· 2 shared Alejandro A. SchäfferiD· 1 shared Jacob GilbertiD· 1 shared Marina KnitteliD· 1 shared Paul F. RobbinsiD· 1 shared Russell S. SchwartziD· 1 shared Suraj R. JoshiiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

S. Cenk ŞahinalpORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintFeb 27, 2026

Identifying Robust Subclonal Structures through Tumor Progression Tree Alignment

Jacob Gilbert, Chih Hao Wu, Marina Knittel…·S. Cenk Şahinalp

This paper introduces omlta, an algorithm for aligning clonal trees to compare tumor progression, and applies it to cancer datasets.

DOI 10.64898/2026.02.25.708046

humanbulk RNA-seq

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Cancer BiologyLecture notes in computer sciencePeer-reviewedJan 1, 2024

Determining Optimal Placement of Copy Number Aberration Impacted Single Nucleotide Variants in a Tumor Progression History

Chih Hao Wu, Suraj R. Joshi, Welles Robinson…·Salem Malikić

This paper introduces DETOPT, a method for accurately placing SNVs affected by CNAs in tumor progression trees, showing improved accuracy on simulated data and biologically plausible results on breast cancer metastases.

DOI 10.1007/978-1-0716-3989-4_48

humanwhole-exome sequencing

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