Author

John Long

Pfizer (United States)

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

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Bioinformatics· 1

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron M. Smith· 1 shared Charles K. FisheriD· 1 shared Craig B. DavisiD· 1 shared Daniel Ziemek· 1 shared Jonathan R. WalshiD· 1 shared Martin R. Hodge· 1 shared Mateusz MaciejewskiiD· 1 shared Peter V. HenstockiD· 1 shared

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2019-2019 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aaron M. Smith

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1 paper

Recent·Most cited

Deep Learning of Representations for Transcriptomics-based Phenotype Prediction

Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter V. Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher

The paper evaluates representation learning techniques for transcriptomics-based phenotype prediction using public data and finds that l2-regularized regression on centered log-ratio transformed abundances performs best.

bioRxiv · Mar 15, 2019 · PreprintBioinformatics