Author

Rinat A. Sergeev

Harvard University

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andrea BlascoiD· 2 shared Aravind SubramanianiD· 2 shared Jin H. PaikiD· 2 shared Karim R. LakhaniiD· 2 shared Michael G. EndresiD· 2 shared N. J. Maximilian Macaluso· 2 shared Rajiv Narayan· 2 shared Ted E. NatoliiD· 2 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Andrea BlascoORCID

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2 papers

Recent·Most cited

Improving Deconvolution Methods in Biology through Open Innovation Competitions: An Application to the Connectivity Map

Andrea Blasco, Ted E. Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin H. Paik, N. J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lü, David Peck, Karim R. Lakhani, Aravind Subramanian

This study evaluates deconvolution methods for gene expression data using an open innovation competition and finds that random forest regression outperforms other approaches in accuracy and reproducibility.

Bioinformatics · Mar 19, 2021Peer-reviewedBioinformatics

Advancing Computational Biology and Bioinformatics Research Through Open Innovation Competitions

Andrea Blasco, Michael G. Endres, Rinat A. Sergeev, Anup Jonchhe, N. J. Maximilian Macaluso, Rajiv Narayan, Ted E. Natoli, Jin H. Paik, Bryan S. Briney, Chunlei Wu, Andrew I. Su, Aravind Subramanian, Karim R. Lakhani

The paper demonstrates how open innovation competitions improve computational biology methods for antibody clustering, gene expression imputation, and CMap querying.

PLoS ONE · Sep 27, 2019Peer-reviewedBioinformatics