299 related articles for article (PubMed ID: 17708679)
1. Elucidating the altered transcriptional programs in breast cancer using independent component analysis.
Teschendorff AE; Journée M; Absil PA; Sepulchre R; Caldas C
PLoS Comput Biol; 2007 Aug; 3(8):e161. PubMed ID: 17708679
[TBL] [Abstract][Full Text] [Related]
2. Evidence for a transcriptional signature of breast cancer.
Feng Y; Li X; Sun B; Wang Y; Zhang L; Pan X; Chen X; Wang X; Wang J; Hao X
Breast Cancer Res Treat; 2010 Jul; 122(1):65-75. PubMed ID: 19728083
[TBL] [Abstract][Full Text] [Related]
3. A novel meta-analysis approach of cancer transcriptomes reveals prevailing transcriptional networks in cancer cells.
Niida A; Imoto S; Nagasaki M; Yamaguchi R; Miyano S
Genome Inform; 2010 Jan; 22():121-31. PubMed ID: 20238423
[TBL] [Abstract][Full Text] [Related]
4. Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.
Miller LD; Liu ET
Breast Cancer Res; 2007; 9(2):206. PubMed ID: 17397520
[TBL] [Abstract][Full Text] [Related]
5. First evidence supporting a potential role for the BMP/SMAD pathway in the progression of oestrogen receptor-positive breast cancer.
Helms MW; Packeisen J; August C; Schittek B; Boecker W; Brandt BH; Buerger H
J Pathol; 2005 Jul; 206(3):366-76. PubMed ID: 15892165
[TBL] [Abstract][Full Text] [Related]
6. Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica.
Lutter D; Langmann T; Ugocsai P; Moehle C; Seibold E; Splettstoesser WD; Gruber P; Lang EW; Schmitz G
J Biomed Inform; 2009 Aug; 42(4):605-11. PubMed ID: 19535009
[TBL] [Abstract][Full Text] [Related]
7. Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells.
Niida A; Smith AD; Imoto S; Tsutsumi S; Aburatani H; Zhang MQ; Akiyama T
BMC Bioinformatics; 2008 Sep; 9():404. PubMed ID: 18823535
[TBL] [Abstract][Full Text] [Related]
8. A Markov random field model for network-based analysis of genomic data.
Wei Z; Li H
Bioinformatics; 2007 Jun; 23(12):1537-44. PubMed ID: 17483504
[TBL] [Abstract][Full Text] [Related]
9. PACK: Profile Analysis using Clustering and Kurtosis to find molecular classifiers in cancer.
Teschendorff AE; Naderi A; Barbosa-Morais NL; Caldas C
Bioinformatics; 2006 Sep; 22(18):2269-75. PubMed ID: 16682424
[TBL] [Abstract][Full Text] [Related]
10. Semaphorin-plexin signalling genes associated with human breast tumourigenesis.
Gabrovska PN; Smith RA; Tiang T; Weinstein SR; Haupt LM; Griffiths LR
Gene; 2011 Dec; 489(2):63-9. PubMed ID: 21925246
[TBL] [Abstract][Full Text] [Related]
11. Transcriptome network component analysis with limited microarray data.
Galbraith SJ; Tran LM; Liao JC
Bioinformatics; 2006 Aug; 22(15):1886-94. PubMed ID: 16766556
[TBL] [Abstract][Full Text] [Related]
12. A network-based approach to identify disease-associated gene modules through integrating DNA methylation and gene expression.
Zhang Y; Zhang J; Liu Z; Liu Y; Tuo S
Biochem Biophys Res Commun; 2015 Sep; 465(3):437-42. PubMed ID: 26282201
[TBL] [Abstract][Full Text] [Related]
13. A modular analysis of breast cancer reveals a novel low-grade molecular signature in estrogen receptor-positive tumors.
Yu K; Ganesan K; Miller LD; Tan P
Clin Cancer Res; 2006 Jun; 12(11 Pt 1):3288-96. PubMed ID: 16740749
[TBL] [Abstract][Full Text] [Related]
14. Pathway recognition and augmentation by computational analysis of microarray expression data.
Novak BA; Jain AN
Bioinformatics; 2006 Jan; 22(2):233-41. PubMed ID: 16278238
[TBL] [Abstract][Full Text] [Related]
15. Non-linear PCA: a missing data approach.
Scholz M; Kaplan F; Guy CL; Kopka J; Selbig J
Bioinformatics; 2005 Oct; 21(20):3887-95. PubMed ID: 16109748
[TBL] [Abstract][Full Text] [Related]
16. Linking signaling pathways to transcriptional programs in breast cancer.
Osmanbeyoglu HU; Pelossof R; Bromberg JF; Leslie CS
Genome Res; 2014 Nov; 24(11):1869-80. PubMed ID: 25183703
[TBL] [Abstract][Full Text] [Related]
17. FGMD: A novel approach for functional gene module detection in cancer.
Jin D; Lee H
PLoS One; 2017; 12(12):e0188900. PubMed ID: 29244808
[TBL] [Abstract][Full Text] [Related]
18. Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data.
Kong W; Mou X; Hu X
BMC Bioinformatics; 2011; 12 Suppl 5(Suppl 5):S7. PubMed ID: 21989140
[TBL] [Abstract][Full Text] [Related]
19. Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation.
Smith DD; Saetrom P; Snøve O; Lundberg C; Rivas GE; Glackin C; Larson GP
BMC Bioinformatics; 2008 Jan; 9():63. PubMed ID: 18226260
[TBL] [Abstract][Full Text] [Related]
20. The discovery of transcriptional modules by a two-stage matrix decomposition approach.
Li H; Sun Y; Zhan M
Bioinformatics; 2007 Feb; 23(4):473-9. PubMed ID: 17189296
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
