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Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens.
Bredthauer, Carl; Fischer, Anja; Ahari, Ata Jadid; Cao, Xueqi; Weber, Julia; Rad, Lena; Rad, Roland; Wachutka, Leonhard; Gagneur, Julien.
Afiliação
  • Bredthauer C; TUM School of Computation, Information and Technology, Technical University of Munich, 81675 Munich, Germany.
  • Fischer A; Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technical University of Munich, 81675 Munich, Germany.
  • Ahari AJ; Center for Translational Cancer Research (TranslaTUM), TUM School of Medicine, Technical University of Munich, 81675 Munich, Germany.
  • Cao X; Computational Health Center, Helmholtz Zentrum Munich, Neuherberg, Germany.
  • Weber J; Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technical University of Munich, 81675 Munich, Germany.
  • Rad L; Center for Translational Cancer Research (TranslaTUM), TUM School of Medicine, Technical University of Munich, 81675 Munich, Germany.
  • Rad R; TUM School of Computation, Information and Technology, Technical University of Munich, 81675 Munich, Germany.
  • Wachutka L; TUM School of Computation, Information and Technology, Technical University of Munich, 81675 Munich, Germany.
  • Gagneur J; Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, 81377 Munich, Germany.
Nucleic Acids Res ; 51(4): e21, 2023 02 28.
Article em En | MEDLINE | ID: mdl-36617985
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Elementos de DNA Transponíveis / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Elementos de DNA Transponíveis / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article