Outlier-based differential expression analysis in proteomics studies

Journal of Proteomics and Bioinformatics

Volumn 4, Issue 6, 2011, Pages 116-122

  Vuong, Huy ^a   Shedden, Kerby ^a   Liu, Yashu ^b   Lubman, David M ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; GLYCOPROTEIN;

ARTICLE; CANCER MODEL; CANCER RESEARCH; CONTROLLED STUDY; DIAGNOSTIC VALUE; EFFECT SIZE; FUNCTIONAL PROTEOMICS; GENE EXPRESSION PROFILING; LYMPH NODE METASTASIS; MATHEMATICAL MODEL; MELANOMA; ONCOGENE; PROBABILITY; PROCESS MODEL; PROTEIN DETERMINATION; PROTEIN EXPRESSION; PROTEIN FUNCTION; SCORING SYSTEM;

EID: 79960158519     PISSN: None     EISSN: 0974276X     Source Type: Journal    
DOI: 10.4172/jpb.1000177     Document Type: Article

References (17)

1. Slamon DJ, Clark GM, Wong SG, Levin WJ, Ullrich A, et al. (1987) Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science 235: 177-182.
2. Tockman MS, Mulshine JL, Piantadosi S, Erozan YS, Gupta PK, et al. (1997) Prospective detection of preclinical lung cancer: results from two studies of heterogeneous nuclear ribonucleo protein A2/B1 over expression. Clin cancer Res 3: 2237-2246.
3. Shah RB, Mehra R, Chinnaiyan AM, Shen R, Ghosh D, et al. (2004) Androgen-independent prostate cancer is a heterogeneous group of diseases. Cancer Res 64: 9209-9216.
4. Balch CM, Soong SJ, Gershenwald JE, Thompson JF, Reintgen DS, et al. (2001) Prognostic factors analysis of 17,600 melanoma patients: validation of the American Joint Committee on Cancer melanoma staging system. J Clin Oncol 19: 3622-3634.
5. Tomlins SA, Rhodes DR, Perner S, Dhanasekaran SM, Mehra R, et al. (2005) Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer. Science 310: 644-648.
6. Tibshirani R, Hastie T (2007) Outlier sums for differential gene expression analysis. Biostatistics 8: 2-8.
7. Wu B (2007) Cancer outlier differential gene expression detection. Biostatistics 8: 566-575.
8. Lian H (2008) MOST: detecting cancer differential gene expression. Biostatistics 9: 411-418.
9. Wang Y, Rekaya R (2010) LSOSS: Detection of Cancer Outlier Differential Gene Expression. Biomark Insights 5: 69-78.
10. Chen LA, Chen DT, Chan W (2010) The distribution-based p-value for the outlier sum in differential gene expression analysis. Biometrika 97: 246-253.
11. Liu Y, He J, Xie X, Su G, Teitz-Tennenbaum S, et al. (2010) Serum Autoantibody Profiling Using a Natural Glycoprotein Micro array for the Prognosis of Early Melanoma. J Proteome Res 9: 6044-6051.
12. Hu J (2008) Cancer outlier detection based on likelihood ratio test. Bioinformatics 24: 2193-2199.
13. Cohen J (1992) A power primer. Psychological Bulletin. 112: 155-159.
14. Hedges LV, Olkin I (1985) Statistical Method for Meta-Analysis Orlando: Academic Press.
15. Vogelstein B, Kinzler KW (2004) Cancer genes and the pathways they control. Nat med 10: 789-799.
16. Hanahan D (2000) The hallmarks of cancer. Cell 100: 57-70.
17. Shackleton M, Quintana E, Fearon ER, Morrison SJ (2009) Heterogeneity in Cancer: Cancer Stem Cells versus Clonal Evolution. Cell 138: 822-829.