Warning: The NCBI web site requires JavaScript to function. more...
Indirect genomic effects on survival from gene expression data.
Ferkingstad E, Frigessi A, Lyng H.
Genome Biol. 2008;9(3):R58. Epub 2008 Mar 22.
Related citations
Application of bioinformatics in cancer epigenetics.
Yang HH, Lee MP.
Ann N Y Acad Sci. 2004 May;1020:67-76. Review.
Identifying differential correlation in gene/pathway combinations.
Braun R, Cope L, Parmigiani G.
BMC Bioinformatics. 2008 Nov 18;9:488.
Transcription factor and microRNA regulation in androgen-dependent and -independent prostate cancer cells.
Wang G, Wang Y, Feng W, Wang X, Yang JY, Zhao Y, Wang Y, Liu Y.
BMC Genomics. 2008 Sep 16;9 Suppl 2:S22.
Regularized gene selection in cancer microarray meta-analysis.
Ma S, Huang J.
BMC Bioinformatics. 2009 Jan 1;10:1.
Chips around the world: proceedings from the Nature Genetics microarray meeting.
Dangond F.
Physiol Genomics. 2000 Mar 13;2(2):53-8. No abstract available.
Integrated analysis of DNA copy number and gene expression microarray data using gene sets.
Menezes RX, Boetzer M, Sieswerda M, van Ommen GJ, Boer JM.
BMC Bioinformatics. 2009 Jun 29;10:203.
ERCC5 is a novel biomarker of ovarian cancer prognosis.
Walsh CS, Ogawa S, Karahashi H, Scoles DR, Pavelka JC, Tran H, Miller CW, Kawamata N, Ginther C, Dering J, Sanada M, Nannya Y, Slamon DJ, Koeffler HP, Karlan BY.
J Clin Oncol. 2008 Jun 20;26(18):2952-8.
Applications of microarray and bioinformatics tools to dissect molecular responses of the central nervous system to antioxidant micronutrients.
Gohil K, Chakraborty AA.
Nutrition. 2004 Jan;20(1):50-5. Review. No abstract available.
Statistical challenges in preprocessing in microarray experiments in cancer.
Owzar K, Barry WT, Jung SH, Sohn I, George SL.
Clin Cancer Res. 2008 Oct 1;14(19):5959-66. Review.
Combined genomic and gene expression microarray profiling identifies ECOP as an upregulated gene in squamous cell carcinomas independent of DNA amplification.
Baras A, Yu Y, Filtz M, Kim B, Moskaluk CA.
Oncogene. 2009 Aug 13;28(32):2919-24. Epub 2009 Jun 15.
Transcription network construction for large-scale microarray datasets using a high-performance computing approach.
Zhu MM, Wu Q.
BMC Genomics. 2008;9 Suppl 1:S5.
Bioinformatics approaches to cancer gene discovery.
Narayanan R.
Methods Mol Biol. 2007;360:13-31. Review.
Systematic identification of yeast cell cycle transcription factors using multiple data sources.
Wu WS, Li WH.
BMC Bioinformatics. 2008 Dec 5;9:522.
Identification of temporal association rules from time-series microarray data sets.
Nam H, Lee K, Lee D.
BMC Bioinformatics. 2009 Mar 19;10 Suppl 3:S6.
Gene set internal coherence in the context of functional profiling.
Montaner D, Minguez P, Al-Shahrour F, Dopazo J.
BMC Genomics. 2009 Apr 27;10:197.
FactorY, a bioinformatic resource for genome-wide promoter analysis.
Guruceaga E, Segura V, Corrales FJ, Rubio A.
Comput Biol Med. 2009 Apr;39(4):385-7. Epub 2009 Mar 9.
Gene expression in the cell cycle of human T-lymphocytes: II. Experimental determination by DNASER technology.
Nicolini C, Spera R, Stura E, Fiordoro S, Giacomelli L.
J Cell Biochem. 2006 Apr 1;97(5):1151-9.
Identification of transcription factor and microRNA binding sites in responsible to fetal alcohol syndrome.
Wang G, Wang X, Wang Y, Yang JY, Li L, Nephew KP, Edenberg HJ, Zhou FC, Liu Y.
BMC Genomics. 2008;9 Suppl 1:S19.
Genome-wide analysis of DNA copy number alterations and gene expression in gastric cancer.
Tsukamoto Y, Uchida T, Karnan S, Noguchi T, Nguyen LT, Tanigawa M, Takeuchi I, Matsuura K, Hijiya N, Nakada C, Kishida T, Kawahara K, Ito H, Murakami K, Fujioka T, Seto M, Moriyama M.
J Pathol. 2008 Dec;216(4):471-82.
Filter your results:
Your browsing activity is empty.
Activity recording is turned off.
Turn recording back on