Expression profiling predicts outcome in breast cancer
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* Corresponding author: Laura J van 't Veer lveer@nki.nl
Breast Cancer Res 2003, 5:57-58 doi:10.1186/bcr562
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Hypothesis
Occurrence of cancer at multiple sites: Towards distinguishing multigenesis from metastasis Wei-Kang Zhang, Chun Zhang, Jing J Zhang, Shi V Liu Biology Direct 2008, 3:14 (11 April 2008) |
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Research article
Zhe Zhang, Dechang Chen, David A Fenstermacher BMC Genomics 2007, 8:331 (20 September 2007) |
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Research article
Gulisa Turashvili, Jan Bouchal, Karl Baumforth, Wenbin Wei, Marta Dziechciarkova, Jiri Ehrmann, Jiri Klein, Eduard Fridman, Jozef Skarda, Josef Srovnal, Marian Hajduch, Paul Murray, Zdenek Kolar BMC Cancer 2007, 7:55 (27 March 2007) |
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Review
Erik H van Beers, Petra M Nederlof Breast Cancer Research 2006, 8:210 (30 June 2006) |
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Methodology article
Characterizing disease states from topological properties of transcriptional regulatory networks David P Tuck, Harriet M Kluger, Yuval Kluger BMC Bioinformatics 2006, 7:236 (2 May 2006) A new approach to recognizing diseased cells using whole genome transcriptional regulatory networks involves combining evidence of co-expression in microarray datasets with transcription factor-gene regulatory relationships to pinpoint key deregulated genes.
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Review
Jimmie E Fata, Zena Werb, Mina J Bissell Breast Cancer Res 2004, 6:1-11 (19 August 2003) |