Integrating Patient-Specific Information into Logic Models of Complex Diseases: Application to Acute Myeloid Leukemia.

Palma, Alessandro; Iannuccelli, Marta; Rozzo, Ilaria; Licata, Luana; Perfetto, Livia; Massacci, Giorgia; Castagnoli, Luisa; Cesareni, Gianni; Sacco, Francesca

Palma, Alessandro; Iannuccelli, Marta; Rozzo, Ilaria; Licata, Luana; Perfetto, Livia; Massacci, Giorgia; Castagnoli, Luisa; Cesareni, Gianni; Sacco, Francesca.

Afiliação

Palma A; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.
Iannuccelli M; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.
Rozzo I; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.
Licata L; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.
Perfetto L; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.
Massacci G; Fondazione Human Technopole, Via Cristina Belgioioso, 171, 20157 Milan, Italy.
Castagnoli L; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.
Cesareni G; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.
Sacco F; Department of Biology, University of Rome Tor Vergata, Via delle Ricerca Scientifica 1, 00133 Rome, Italy.

J Pers Med ; 11(2)2021 Feb 10.

Article em En | MEDLINE | ID: mdl-33578936

Palavras-chave

Boolean networks; acute myeloid leukemia; logic modelling; signaling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Pers Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália

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