Author

Winston A. Haynes

Stanford MedicineORCID 0000-0002-2376-0630Unclaimed ORCID profile · follow to get notified of new preprints

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Winston A. Haynes1 paper

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Purvesh KhatriiD· 3 shared Aurelie TomczakiD· 2 shared Charles Yu LiuiD· 2 shared Francesco VallaniaiD· 2 shared Nigam Haresh ShahiD· 2 shared Shane Lofgren· 2 shared Dominique T. Alessi· 1 shared Erika BongeniD· 1 shared

Activity by Year

2018-2018 · peak 3/yr

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10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Purvesh KhatriORCID

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3 papers

Recent·Most cited

Interpretation of biological experiments changes with evolution of Gene Ontology and its annotations

Aurelie Tomczak, Jonathan Mortensen, Rainer Winnenburg, Charles Yu Liu, Dominique T. Alessi, Varsha Swamy, Francesco Vallania, Shane Lofgren, Winston A. Haynes, Nigam Haresh Shah, Mark A. Musen, Purvesh Khatri

The paper evaluates how changes in Gene Ontology (GO) and its annotations over time affect the results of GO enrichment analyses in disease studies.

Scientific Reports · Mar 23, 2018Peer-reviewedBioinformatics

Integrated molecular, clinical, and ontological analysis identifies overlooked disease relationships

Winston A. Haynes, Rohit Vashisht, Francesco Vallania, Charles Liu, Gregory L. Gaskin, Erika Bongen, Shane Lofgren, Timothy E. Sweeney, Paul J. Utz, Nigam Haresh Shah, Purvesh Khatri

The paper integrates transcriptome and clinical data to identify overlooked disease relationships, such as between myositis and interstitial cystitis.

bioRxiv · Feb 16, 2018 · PreprintBioinformatics

Gene annotation bias impedes biomedical research

Winston A. Haynes, Aurelie Tomczak, Purvesh Khatri

The paper identifies gene annotation bias in biomedical resources and highlights its impact on research focus, advocating for data-driven hypothesis generation to mitigate these biases.

Scientific Reports · Jan 16, 2018Peer-reviewedBioinformatics