Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment

[1]  John P A Ioannidis,et al.  Translation of highly promising basic science research into clinical applications. , 2003, The American journal of medicine.

[2]  Thomas A Trikalinos,et al.  Genetic associations in large versus small studies: an empirical assessment , 2003, The Lancet.

[3]  M. Radmacher,et al.  Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. , 2003, Journal of the National Cancer Institute.

[4]  C. Ball,et al.  Microarray databases: standards and ontologies , 2002, Nature Genetics.

[5]  C. Perou,et al.  Molecular portraits and the family tree of cancer , 2002, Nature Genetics.

[6]  Emanuel F. Petricoin,et al.  Medical applications of microarray technologies: a regulatory science perspective , 2002, Nature Genetics.

[7]  G. Churchill Fundamentals of experimental design for cDNA microarrays , 2002, Nature Genetics.

[8]  D. Pisetsky,et al.  DNA microarrays: boundless technology or bound by technology? Guidelines for studies using microarray technology. , 2002, Arthritis and rheumatism.

[9]  Jason E. Stewart,et al.  Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.

[10]  A. Sinha,et al.  Gene expression profile analysis by DNA microarrays: promise and pitfalls. , 2001, JAMA.

[11]  J. Ioannidis,et al.  Replication validity of genetic association studies , 2001, Nature Genetics.

[12]  Z. Herceg,et al.  Disruption of Trrap causes early embryonic lethality and defects in cell cycle progression , 2001, Nature Genetics.

[13]  T. Aitman,et al.  DNA microarrays in medical practice , 2001, BMJ : British Medical Journal.

[14]  Jonathan A C Sterne,et al.  Systematic reviews in health care: Investigating and dealing with publication and other biases in meta-analysis. , 2001, BMJ.

[15]  T. Golub,et al.  Genome-wide views of cancer. , 2001, The New England journal of medicine.

[16]  D G Altman,et al.  What do we mean by validating a prognostic model? , 2000, Statistics in medicine.

[17]  A R Feinstein,et al.  Clinical epidemiological quality in molecular genetic research: the need for methodological standards. , 1999, JAMA.

[18]  H P Friedman,et al.  Searching for evidence of altered gene expression: a comment on statistical analysis of microarray data. , 1999, Journal of the National Cancer Institute.

[19]  M. Bittner,et al.  Expression profiling using cDNA microarrays , 1999, Nature Genetics.

[20]  E. Lander Array of hope , 1999, Nature Genetics.

[21]  M Schumacher,et al.  Resampling and cross-validation techniques: a tool to reduce bias caused by model building? , 1997, Statistics in medicine.

[22]  D. G. Altman,et al.  Statistical aspects of prognostic factor studies in oncology. , 1994, British Journal of Cancer.