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PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithms.
Boizard, Franck; Buffin-Meyer, Bénédicte; Aligon, Julien; Teste, Olivier; Schanstra, Joost P; Klein, Julie.
Affiliation
  • Boizard F; Institut National de la Santé et de la Recherche Médicale (INSERM), U1297, Institute of Cardiovascular and Metabolic Disease, 31432, Toulouse, France.
  • Buffin-Meyer B; Université Toulouse III Paul-Sabatier, 31330, Toulouse, France.
  • Aligon J; Institut National de la Santé et de la Recherche Médicale (INSERM), U1297, Institute of Cardiovascular and Metabolic Disease, 31432, Toulouse, France.
  • Teste O; Université Toulouse III Paul-Sabatier, 31330, Toulouse, France.
  • Schanstra JP; Université de Toulouse, UT1, IRIT, (CNRS/UMR 5505), Toulouse, France.
  • Klein J; Université de Toulouse, UT2J, IRIT, (CNRS/UMR 5505), Toulouse, France.
Sci Rep ; 11(1): 5764, 2021 03 11.
Article in En | MEDLINE | ID: mdl-33707596
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Disease / Proteomics Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Disease / Proteomics Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Country of publication: