Identifying differentially expressed transcripts associated with prostate cancer progression using RNA-Seq and machine learning techniques

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015

Volumn , Issue , 2015, Pages

  Singireddy, Siva ^a   Alkhateeb, Abed ^a   Rezaeian, Iman ^a   Rueda, Luis ^a   Cavallo Medved, Dora ^a   Porter, Lisa ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Alternative Splicing; Classification; Feature Selection; Machine Learning; Next Generation Sequencing; Prostate Cancer

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; BIOMARKERS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATIENT TREATMENT; POPULATION STATISTICS; RNA; UROLOGY;

ALTERNATIVE SPLICING; DIFFERENT STAGES; DISEASE PROGRESSION; HIGH-RISK PATIENTS; MACHINE LEARNING TECHNIQUES; NEXT-GENERATION SEQUENCING; PROSTATE CANCERS; THERAPEUTIC STRATEGY;

DISEASES;

EID: 84953431940     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2015.7300302     Document Type: Conference Paper

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