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The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysis.
Buzdin, Anton A; Zhavoronkov, Alex A; Korzinkin, Mikhail B; Roumiantsev, Sergey A; Aliper, Alexander M; Venkova, Larisa S; Smirnov, Philip Y; Borisov, Nikolay M.
Afiliação
  • Buzdin AA; Group for Genomic Regulation of Cell Signaling Systems, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences Moscow, Russia ; Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia ; Pathway P
  • Zhavoronkov AA; Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia ; Pathway Pharmaceuticals Wan Chai, Hong Kong.
  • Korzinkin MB; Pathway Pharmaceuticals Wan Chai, Hong Kong ; Laboratory of Systems Biology, A.I. Burnasyan Federal Medical Biophysical Center Moscow, Russia.
  • Roumiantsev SA; Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia.
  • Aliper AM; Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia ; Pathway Pharmaceuticals Wan Chai, Hong Kong.
  • Venkova LS; Pathway Pharmaceuticals Wan Chai, Hong Kong ; Laboratory of Systems Biology, A.I. Burnasyan Federal Medical Biophysical Center Moscow, Russia.
  • Smirnov PY; Pathway Pharmaceuticals Wan Chai, Hong Kong ; Laboratory of Systems Biology, A.I. Burnasyan Federal Medical Biophysical Center Moscow, Russia.
  • Borisov NM; Pathway Pharmaceuticals Wan Chai, Hong Kong ; Laboratory of Systems Biology, A.I. Burnasyan Federal Medical Biophysical Center Moscow, Russia.
Front Mol Biosci ; 1: 8, 2014.
Article em En | MEDLINE | ID: mdl-25988149

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Mol Biosci Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Mol Biosci Ano de publicação: 2014 Tipo de documento: Article