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Identifying high-priority proteins across the human diseasome using semantic similarity

Edward Lau, Vidya Venkatraman, Cody T Thomas, Jennifer E Van Eyk, Maggie PY Lam
doi: https://doi.org/10.1101/309203
Edward Lau
1Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA.
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Vidya Venkatraman
2Advanced Clinical Biosystems Research Institute, Department of Medicine and The Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
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Cody T Thomas
3Department of Medicine, Division of Cardiology, Consortium for Fibrosis Research and Translation, Anschutz Medical Campus, University of Colorado Denver, CO.
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Jennifer E Van Eyk
2Advanced Clinical Biosystems Research Institute, Department of Medicine and The Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
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Maggie PY Lam
3Department of Medicine, Division of Cardiology, Consortium for Fibrosis Research and Translation, Anschutz Medical Campus, University of Colorado Denver, CO.
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  • For correspondence: maggie.lam@ucdenver.edu
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Posted April 29, 2018.
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Identifying high-priority proteins across the human diseasome using semantic similarity
Edward Lau, Vidya Venkatraman, Cody T Thomas, Jennifer E Van Eyk, Maggie PY Lam
bioRxiv 309203; doi: https://doi.org/10.1101/309203
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Identifying high-priority proteins across the human diseasome using semantic similarity
Edward Lau, Vidya Venkatraman, Cody T Thomas, Jennifer E Van Eyk, Maggie PY Lam
bioRxiv 309203; doi: https://doi.org/10.1101/309203

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