Your browser doesn't support javascript.
loading
SigCom LINCS: data and metadata search engine for a million gene expression signatures.
Evangelista, John Erol; Clarke, Daniel J B; Xie, Zhuorui; Lachmann, Alexander; Jeon, Minji; Chen, Kerwin; Jagodnik, Kathleen M; Jenkins, Sherry L; Kuleshov, Maxim V; Wojciechowicz, Megan L; Schürer, Stephan C; Medvedovic, Mario; Ma'ayan, Avi.
Afiliação
  • Evangelista JE; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Clarke DJB; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Xie Z; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Lachmann A; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Jeon M; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Chen K; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Jagodnik KM; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Jenkins SL; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Kuleshov MV; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Wojciechowicz ML; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Schürer SC; Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
  • Medvedovic M; Department of Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
  • Ma'ayan A; Department of Pharmacological Sciences, Department of Artificial Intelligence and Human Health, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Nucleic Acids Res ; 50(W1): W697-W709, 2022 07 05.
Article em En | MEDLINE | ID: mdl-35524556

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Metadados Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Metadados Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2022 Tipo de documento: Article