Performing Meta-Analysis
- Citations for selecting differentially-expressed genes from meta-analysis. This DE genes will be used as input into clustering algorithms.
- Hong F and Breitling R. A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments. Bioinformatics. 2008 Feb 1;24(3):374-82. DOI:10.1093/bioinformatics/btm620 | PubMed ID:18204063 | HubMed [1]
Evaluation and discussion of DE detection in Meta-analysis. RankProd recommended. |
- Hong F, Breitling R, McEntee CW, Wittner BS, Nemhauser JL, and Chory J. RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis. Bioinformatics. 2006 Nov 15;22(22):2825-7. DOI:10.1093/bioinformatics/btl476 | PubMed ID:16982708 | HubMed [2]
One approach for DE detection. |
- Grützmann R, Boriss H, Ammerpohl O, Lüttges J, Kalthoff H, Schackert HK, Klöppel G, Saeger HD, and Pilarsky C. Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes. Oncogene. 2005 Jul 28;24(32):5079-88. DOI:10.1038/sj.onc.1208696 | PubMed ID:15897887 | HubMed [3]
- Gur-Dedeoglu B, Konu O, Kir S, Ozturk AR, Bozkurt B, Ergul G, and Yulug IG. A resampling-based meta-analysis for detection of differential gene expression in breast cancer. BMC Cancer. 2008 Dec 30;8:396. DOI:10.1186/1471-2407-8-396 | PubMed ID:19116033 | HubMed [4]
- Jung YY, Oh MS, Shin DW, Kang SH, and Oh HS. Identifying differentially expressed genes in meta-analysis via Bayesian model-based clustering. Biom J. 2006 Jun;48(3):435-50. DOI:10.1002/bimj.200410230 | PubMed ID:16845907 | HubMed [5]
- Ma S and Huang J. Regularized gene selection in cancer microarray meta-analysis. BMC Bioinformatics. 2009 Jan 1;10:1. DOI:10.1186/1471-2105-10-1 | PubMed ID:19118496 | HubMed [6]
Method for selecting associated genes from multiple experiments with different setups |
- Sohal D, Yeatts A, Ye K, Pellagatti A, Zhou L, Pahanish P, Mo Y, Bhagat T, Mariadason J, Boultwood J, Melnick A, Greally J, and Verma A. Meta-analysis of microarray studies reveals a novel hematopoietic progenitor cell signature and demonstrates feasibility of inter-platform data integration. PLoS One. 2008 Aug 13;3(8):e2965. DOI:10.1371/journal.pone.0002965 | PubMed ID:18698424 | HubMed [7]
- Ramasamy A, Mondry A, Holmes CC, and Altman DG. Key issues in conducting a meta-analysis of gene expression microarray datasets. PLoS Med. 2008 Sep 30;5(9):e184. DOI:10.1371/journal.pmed.0050184 | PubMed ID:18767902 | HubMed [8]
- Cahan P, Rovegno F, Mooney D, Newman JC, St Laurent G 3rd, and McCaffrey TA. Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardization. Gene. 2007 Oct 15;401(1-2):12-8. DOI:10.1016/j.gene.2007.06.016 | PubMed ID:17651921 | HubMed [9]
All Medline abstracts: PubMed | HubMed
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