select ad.sno,ad.journal,ad.title,ad.author_names,ad.abstract,ad.abstractlink,j.j_name,vi.* from articles_data ad left join journals j on j.journal=ad.journal left join vol_issues vi on vi.issue_id_en=ad.issue_id where ad.sno_en='29852' and ad.lang_id='3' and j.lang_id='3' and vi.lang_id='3' Identification of Tumor Subtypes of Endometrial Carcinoma by | 29852
Журнал медицинских методов диагностики

Журнал медицинских методов диагностики
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ISSN: 2168-9784

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Identification of Tumor Subtypes of Endometrial Carcinoma by Integration of Heterogeneous Datasets

Kim H, Bredel M, Park H, Chuang JH

The Cancer Genome Atlas (TCGA) project has made available multiple heterogeneous datasets. Although several methodological approaches have been proposed for the heterogeneous data integration, there is no framework of sparse non-negative matrix factorization (NMF) for handling heterogeneous biological data integration. Here, we propose the block-weighted sparse NMF bwsNMF) to identify tumor subtypes of endometrial carcinoma by integrating gene expression, mutations, a protein-protein interaction network and a transcription factor target network.

Отказ от ответственности: Этот тезис был переведен с использованием инструментов искусственного интеллекта и еще не прошел рецензирование или проверку.
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