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ARAX: a graph-based modular reasoning tool for translational biomedicine.
Glen, Amy K; Ma, Chunyu; Mendoza, Luis; Womack, Finn; Wood, E C; Sinha, Meghamala; Acevedo, Liliana; Kvarfordt, Lindsey G; Peene, Ross C; Liu, Shaopeng; Hoffman, Andrew S; Roach, Jared C; Deutsch, Eric W; Ramsey, Stephen A; Koslicki, David.
Afiliação
  • Glen AK; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
  • Ma C; Huck Institutes of the Life Sciences, Pennsylvania State University, State College, PA 16802, USA.
  • Mendoza L; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Womack F; Huck Institutes of the Life Sciences, Pennsylvania State University, State College, PA 16802, USA.
  • Wood EC; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
  • Sinha M; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
  • Acevedo L; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
  • Kvarfordt LG; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
  • Peene RC; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
  • Liu S; Huck Institutes of the Life Sciences, Pennsylvania State University, State College, PA 16802, USA.
  • Hoffman AS; Interdisciplinary Hub for Digitalization and Society, Radboud University, Nijmegen 6500GL, The Netherlands.
  • Roach JC; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Deutsch EW; Institute for Systems Biology, Seattle, WA 98109, USA.
  • Ramsey SA; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
  • Koslicki D; Department of Biomedical Sciences, Oregon State University, Corvallis, OR 97331, USA.
Bioinformatics ; 39(3)2023 03 01.
Article em En | MEDLINE | ID: mdl-36752514

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Bases de Conhecimento Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Bases de Conhecimento Idioma: En Ano de publicação: 2023 Tipo de documento: Article