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='8' and j.lang_id='8' and vi.lang_id='8' Identification of Tumor Subtypes of Endometrial Carcinoma by | 29852
जर्नल ऑफ़ मेडिकल डायग्नोस्टिक मेथड्स

जर्नल ऑफ़ मेडिकल डायग्नोस्टिक मेथड्स
खुला एक्सेस

आईएसएसएन: 2168-9784

अमूर्त

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.

अस्वीकरण: इस सार का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया था और अभी तक इसकी समीक्षा या सत्यापन नहीं किया गया है।
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