Algorithms for detecting significantly mutated pathways in cancer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6044 LNBI, Issue , 2010, Pages 506-521

  Vandin, Fabio ^a   Upfal, Eli ^b   Raphael, Benjamin J ^b,c  

^a UNIVERSITY OF PADOVA   (Italy)

^b Brown University   (United States)

^c BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER DEVELOPMENT; CANCER GENES; CANCER GENOME; CELLULAR SIGNALING; COMPUTATIONAL FRAMEWORK; COMPUTATIONALLY EFFICIENT; DIFFUSION PROCESS; FALSE DISCOVERY RATE; GENE INTERACTION NETWORKS; GENE INTERACTIONS; GENOME SEQUENCING; GLIOBLASTOMAS; HUMAN PROTEINS; INTERACTION NETWORKS; MULTIPLE HYPOTHESIS TESTS; MUTATED GENES; NOTCH SIGNALING PATHWAYS; REGULATORY PATHWAY; SCALE INTERACTIONS; SOMATIC MUTATION; SUBNETWORKS; TWO STAGE;

ACTIVE NETWORKS; ALGORITHMS; MOLECULAR BIOLOGY; MOLECULAR STRUCTURE; SIGNALING; STATISTICAL TESTS;

GENES;

EID: 78650280312     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12683-3_33     Document Type: Conference Paper

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