Author

Charles R. Cantor

Boston UniversityPrimary ORCID profile (0009-0009-7816-9387 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Charles R. CantoriD1 paper · Boston University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Alex Zhavoronkov· 1 shared Alexander Aliper· 1 shared Andrew Garazha· 1 shared Anton Buzdin· 1 shared Bhubaneswar Mishra· 1 shared Bud MishraiD· 1 shared Dmitry G. Sokov· 1 shared Elena Ilnitskaya· 1 shared

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2016-2024 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Alex Zhavoronkov

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 8, 2024

Discrete Ollivier-Ricci Flow Finds Distinct Subpopulations of Patients Treated with PD-1 Inhibition

James J Bannon, Charles R. Cantor, Bud Mishra

This paper uses discrete Ollivier-Ricci Flow to cluster patients treated with PD-1 inhibition, revealing subpopulations with distinct survival curves and potential biomarkers.

DOI 10.1101/2024.08.08.606714

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivSep 21, 2016

Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data

Nicolas Borisov, Maria Suntsova, Andrew Garazha…·Anton Buzdin

This study shows that aggregating gene expression data at the molecular pathway level reduces cross- and intra-platform bias, with OncoFinder performing best in tests.

DOI 10.1080/15384101.2017.1361068

bulk RNA-seqproteomics

𝕏 PostBluesky