Gene expression profiling predicts clinical outcome of breast cancer
Laura van ‘t Veer(Oncode Institute), Hongyue Dai(Rosetta Stone (United States)), Marc J. van de Vijver(The Netherlands Cancer Institute), Yudong D. He(Rosetta Stone (United States)), Augustinus A. M. Hart(The Netherlands Cancer Institute), Mao Mao(Rosetta Stone (United States)), Hans Peterse(The Netherlands Cancer Institute), K van der Kooy(The Netherlands Cancer Institute), Matthew J. Marton(Rosetta Stone (United States)), Anke Witteveen(The Netherlands Cancer Institute), George J. Schreiber(Rosetta Stone (United States)), Ron Kerkhoven(The Netherlands Cancer Institute), Chris Roberts(Rosetta Stone (United States)), Peter S. Linsley(Rosetta Stone (United States)), René Bernards(The Netherlands Cancer Institute), Stephen Friend(Rosetta Stone (United States))
Cited by 9,596Open Access
Abstract
Related Papers
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
Thérese Sørlie, Charles M. Perou, Robert Tibshirani et al.|Proceedings of the National Academy of Sciences|2001|10.9k
Tamoxifen for early breast cancer: an overview of the randomised trials
Early Breast Cancer Tr.group, -, Klijn, Jan|The Lancet|1998|4.1k