digeR: A graphical user interface R package for analyzing 2D-DIGE data

Bioinformatics

Volumn 25, Issue 22, 2009, Pages 3033-3034

  Fan, Yue ^a   Murphy, T Brendan ^a   Watson, R William G ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

HAPTOGLOBIN;

ARTICLE; BIOINFORMATICS; CLASSIFICATION ALGORITHM; COMPUTER INTERFACE; DATA ANALYSIS SOFTWARE; DISEASE MARKER; GLEASON SCORE; INTERNET; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATE HYPERTROPHY; PROTEIN PROCESSING; TWO DIMENSIONAL GEL ELECTROPHORESIS;

COMPUTER GRAPHICS; ELECTROPHORESIS, GEL, TWO-DIMENSIONAL; PROTEOMICS; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 70449350590     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp514     Document Type: Article

References (5)

1. Byrne,J.C. et al. (2009) 2D-DIGE as a strategy to identify serum markers for the progression of prostate cancer. J. Proteome Res., 8, 942-957.
2. Hwang,D. et al. (2002) Determination of minimum sample size and discriminatory expression patterns in microarray data. Bioinformatics 18, 1184-1193.
3. Patz,E.F., Jr. et al. (2007) Panel of serum biomarkers for the diagnosis of lung cancer. J. Clin. Oncol., 25, 5578-5583.
4. Rifai,N. et al. (2006) Protein biomarker discovery and validation: the long and uncertain path to clinical utility. Nat Biotechnol., 24, 971-983.
5. Seiichi Saito,Y.M. et al. (2008) Haptoglobin-beta chain defined by monoclonal antibody RM2 as a novel serum marker for prostate cancer. Int. J. Cancer, 123, 633-640.