Supervised Regularized Canonical Correlation Analysis: Integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Golugula, Abhishek ^a   Lee, George ^b   Master, Stephen R ^c   Feldman, Michael D ^c   Tomaszewski, John E ^c   Speicher, David W ^d   Madabhushi, Anant ^b  

^a RUTGERS UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d WISTAR INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL CORRELATION ANALYSIS; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; COMPUTATIONAL CHALLENGES; COMPUTATIONALLY EFFICIENT; PARTIAL LEAST SQUARES REGRESSION; RANDOM FOREST CLASSIFIER; STATISTICAL TECHNIQUES;

DECISION TREES; DISEASES; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; SURGERY; UROLOGY;

DIAGNOSIS;

PROSTATE SPECIFIC ANTIGEN;

AGED; ARTICLE; COHORT ANALYSIS; DIAGNOSTIC IMAGING; GENETICS; HUMAN; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; PROSTATE TUMOR; PROSTATECTOMY; PROTEOMICS; RECURRENT DISEASE;

AGED; COHORT STUDIES; DIAGNOSTIC IMAGING; HUMANS; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; PROSTATE-SPECIFIC ANTIGEN; PROSTATECTOMY; PROSTATIC NEOPLASMS; PROTEOMICS; RECURRENCE;

EID: 83655203485     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-483     Document Type: Article

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