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An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types #
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관련정보 #

Summary #

Introduction #

Methods #

Notations #

Non-negative matrix tri-factorization #

Network regularized sparse non-negative tri-factrorization model #

Results #

Simulation #

TCGA somatic mutation profiles, pathway database and gene–gene interaction networks preparation #

Cancer-type-specific altered pathway identification #

Biological interpretation for the cancer-type-specific altered pathways #

Patient stratification using cancer-type-specific altered pathways identified by NTriPath #

Independent cohorts for the validation of the cancer- type-specific altered pathways #

Identification of potential therapeutic targets in poor prognosis patient subgroups #

Discussion #

Conclusions #

Suggested Pages #

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