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Identifying temporal molecular signatures underlying cardiovascular diseases: A data science platform.
Chung, Neo Christopher; Choi, Howard; Wang, Ding; Mirza, Bilal; Pelletier, Alexander R; Sigdel, Dibakar; Wang, Wei; Ping, Peipei.
Afiliación
  • Chung NC; NHLBI Integrated Cardiovascular Data Science Training Program at University of California (UCLA), Los Angeles, USA; Departments of Physiology and Medicine (Cardiology) at UCLA School of Medicine, USA; Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics University of Warsaw, W
  • Choi H; NHLBI Integrated Cardiovascular Data Science Training Program at University of California (UCLA), Los Angeles, USA; Departments of Physiology and Medicine (Cardiology) at UCLA School of Medicine, USA; Bioinformatics and Medical Informatics at UCLA School of Engineering, Los Angeles, CA 90095, USA; S
  • Wang D; Departments of Physiology and Medicine (Cardiology) at UCLA School of Medicine, USA.
  • Mirza B; Departments of Physiology and Medicine (Cardiology) at UCLA School of Medicine, USA.
  • Pelletier AR; NHLBI Integrated Cardiovascular Data Science Training Program at University of California (UCLA), Los Angeles, USA; Bioinformatics and Medical Informatics at UCLA School of Engineering, Los Angeles, CA 90095, USA; Scalable Analytics Institute (ScAi) at UCLA School of Engineering, Los Angeles, CA 900
  • Sigdel D; NHLBI Integrated Cardiovascular Data Science Training Program at University of California (UCLA), Los Angeles, USA; Departments of Physiology and Medicine (Cardiology) at UCLA School of Medicine, USA.
  • Wang W; NHLBI Integrated Cardiovascular Data Science Training Program at University of California (UCLA), Los Angeles, USA; Bioinformatics and Medical Informatics at UCLA School of Engineering, Los Angeles, CA 90095, USA; Scalable Analytics Institute (ScAi) at UCLA School of Engineering, Los Angeles, CA 900
  • Ping P; NHLBI Integrated Cardiovascular Data Science Training Program at University of California (UCLA), Los Angeles, USA; Departments of Physiology and Medicine (Cardiology) at UCLA School of Medicine, USA; Bioinformatics and Medical Informatics at UCLA School of Engineering, Los Angeles, CA 90095, USA; S
J Mol Cell Cardiol ; 145: 54-58, 2020 08.
Article en En | MEDLINE | ID: mdl-32504647
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Perfilación de la Expresión Génica / Ciencia de los Datos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Mol Cell Cardiol Año: 2020 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Perfilación de la Expresión Génica / Ciencia de los Datos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: J Mol Cell Cardiol Año: 2020 Tipo del documento: Article