Author

Mykola Bordyuh

Columbia UniversityORCID 0000-0002-4778-0927Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andrew J. BlumbergiD· 1 shared Liang XueiD· 1 shared Luis AparicioiD· 1 shared Pierre M. Jean BeltraniD· 1 shared Raúl RabadániD· 1 shared Robert V. StantoniD· 1 shared Shivani TiwaryiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperSystems Biology

Andrew J. BlumbergORCID

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2 papers

Recent·Most cited

BioinformaticsPROTEOMICSPeer-reviewedJun 30, 2025

CoSpred: Machine learning workflow to predict tandem mass spectrum in proteomics

Liang Xue, Shivani Tiwary, Mykola Bordyuh…·Robert V. Stanton

CoSpred is a machine learning workflow that predicts complete tandem mass spectra from peptide sequences, improving spectral library matching by including non-backbone ions.

1 citation

metagenomicsproteomics

𝕏 PostBluesky

Systems BiologybioRxivPreprintOct 5, 2018

Quasi-universality in single-cell sequencing data

Luis Aparicio, Mykola Bordyuh, Andrew J. Blumberg, Raúl Rabadán

This paper identifies a universal pattern in single-cell sequencing data and proposes a method to denoise it by distinguishing biological signals from artifacts.

4 citations

scRNA-seqstatistical model

𝕏 PostBluesky