Author

David Peck

Broad Institute

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· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Andrea BlascoiD· 1 shared Aravind SubramanianiD· 1 shared Jin H. PaikiD· 1 shared Karim R. LakhaniiD· 1 shared Michael G. EndresiD· 1 shared N. J. Maximilian Macaluso· 1 shared Rajiv Narayan· 1 shared Rinat A. Sergeev· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrea BlascoORCID

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1 paper

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