RankAggreg, an R package for weighted rank aggregation

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Pihur, Vasyl ^a   Datta, Susmita ^a   Datta, Somnath ^a  

^a UNIVERSITY OF LOUISVILLE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS-ENTROPY METHOD; FLEXIBLE FRAMEWORK; HIGH-THROUGHPUT TECHNOLOGIES; MICRO-ARRAY CHIPS; MICROARRAY EXPERIMENTS; POTENTIAL UTILITY; PROSTATE CANCERS; PROTEOMIC STUDIES;

BIOINFORMATICS; GENE EXPRESSION;

AGGLOMERATION;

ARTICLE; COMPUTER PROGRAM; GENE EXPRESSION; GENETIC ALGORITHM; GENOMICS; HIGH THROUGHPUT SCREENING; HUMAN; MICROARRAY ANALYSIS; MONTE CARLO METHOD; PROSTATE CANCER; PROTEOMICS; ALGORITHM; BIOLOGY; CLUSTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; METHODOLOGY;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SOFTWARE;

EID: 65249115735     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-62     Document Type: Article

References (13)

1. DeConde R Hawley S Falcon S Clegg N Knudsen B Etzioni R Combining results of microarray experiments: A rank aggregation approach Stat Appl Genet Mol Biol 2006, 5:ARticle 15. 17049026
2. Pihur V Datta S Datta S Finding cancer genes through meta-analysis of microarray experiments: Rank aggregation via the cross entropy algorithm Genomics 2008, 92:400-403. 10.1016/j.ygeno.2008.05.003 18565726
3. Lin S Ding J Zhou J Rank aggregation of putative microRNA targets with Cross-Entropy Monte Carlo methods (Preprint, presented at the IBC 2006 conference, Montreal) 2006
4. Lin S Ding J Integration of Ranked Lists via Cross Entropy Monte Carlo with Applications to mRNA and microRNA Studies Biometrics 2008. 18479487
5. Pihur V Datta S Datta S Weighted rank aggregation of cluster validation measures: A Monte Carlo cross-entropy approach Bioinformatics 2007, 23(13):1607-15. 10.1093/bioinformatics/btm158 17483500
6. Rubinstein R The cross-entropy method for combinatorial and continuous optimization Methodology and Computing in Applied Probability 1999, 1:127-190. 10.1023/A:1010091220143
7. De Boer P Kroese D Mannor S Rubinstein R A tutorial on the Cross-Entropy method Ann Oper Res 2005, 134:19-67. 10.1007/s10479-005-5724-z
8. Goldenberg DE Genetic Algorithms in Search, Optimization and Machine Learning Reading: MA: Addison Wesley 1989.
9. R Development Core Team R: A Language and Environment for Statistical Computing R Foundation for Statistical Computing, Vienna, Austria 2008. http://www.R-project.org
10. Brock GN Pihur V Datta S Datta S clValid, an R package for cluster validation Journal of Statistical Software 2007, 25:4.
11. Pal P Xi H Kaushal R Sun G Jin CH Jin L Suarez BK Catalona WJ Deka R Variants in the HEPSIN gene are associated with prostate cancer in men of European origin Hum Genet 2006, 120(2)187-92. 10.1007/ s00439-006-0204-3 16783571
12. Rubin MA Zhou M Dhanasekaran SM Varambally S Barrette TR Sanda MG Pienta KJ Ghosh D Chinnaiyan AM alpha-Methylacyl coenzyme A racemase as a tissue biomarker for prostate cancer JAMA 2002, 287(13):1662-70. 10.1001/ jama.287.13.1662 11926890
13. Schmidt LJ Ballman KV Tindall DJ Inhibition of fatty acid synthase activity in prostate cancer cells by dutasteride Prostate 2007, 67(10):1111-20. 10.1002/pros.20602 17477363