An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types
#
Find similar titles
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 #
0.0.1_20140628_0
-
content-type
text/x-markdown
-
schema
MedicalScholarlyArticle