Computationally Driven Discovery in Coagulation.

Link, Kathryn G; Stobb, Michael T; Monroe, Dougald M; Fogelson, Aaron L; Neeves, Keith B; Sindi, Suzanne S; Leiderman, Karin

Link, Kathryn G; Stobb, Michael T; Monroe, Dougald M; Fogelson, Aaron L; Neeves, Keith B; Sindi, Suzanne S; Leiderman, Karin.

Afiliação

Link KG; Department of Mathematics, University of California Davis (K.G.L.).
Stobb MT; Department of Mathematics and Computer Science, Coe College, Cedar Rapids, IA (M.T.S.).
Monroe DM; Department of Medicine, UNC Blood Research Center, University of North Carolina at Chapel Hill (D.M.M.).
Fogelson AL; Departments of Mathematics and Biomedical Engineering, University of Utah, Salt Lake City (A.L.F.).
Neeves KB; Departments of Bioengineering and Pediatrics, Section of Hematology, Oncology, and Bone Marrow Transplant, Hemophilia and Thrombosis Center, University of Colorado, Denver (K.B.N.).
Sindi SS; Department of Applied Mathematics, University of California, Merced (S.S.S.).
Leiderman K; Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden (K.L.).

Arterioscler Thromb Vasc Biol ; 41(1): 79-86, 2021 01.

Article em En | MEDLINE | ID: mdl-33115272

Assuntos

Coagulação Sanguínea; Simulação por Computador; Fator V/metabolismo; Hemofilia A/sangue; Modelos Biológicos; Trombina/metabolismo; Animais; Ligação Competitiva; Conjuntos de Dados como Assunto; Fator VIII/metabolismo; Fator Xa/metabolismo; Hemofilia A/diagnóstico; Humanos; Aprendizado de Máquina; Ligação Proteica

Palavras-chave

algorithms; hemophilia A; machine learning; plasma; thrombin

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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