| Document Date: 2013-03-12 10:01:29
Open Document File Size: 69,31 KBShare Result on Facebook
City Gambier / / Company Cambridge University Press / Wadsworth International Group / Proc Natl Acad Sci U S A / / Country United Kingdom / / / Facility National Cancer Institute / Kenyon College / Rockville Pike / / IndustryTerm neural networks / prediction algorithms / research tool / artificial neural networks / prediction algorithm / class prediction algorithms / / MarketIndex set 20 / / MedicalCondition cancers / tumor / Diffuse large B-cell lymphoma outcome prediction / diffuse large-B-cell lymphoma / cancer / tumors / disease / cutaneous malignant melanoma / human cancers / diffuse large B-cell lymphoma / metastatic disease / distinct adenocarcinoma sub-classes / colon cancer / medulloblastoma specimens / medulloblastoma / axillary lymph node-negative breast cancer / hereditary breast cancer / human breast cancer / breast cancer / recurrent disease / advanced melanomas / human lung carcinomas / adenocarcinoma / / MedicalTreatment chemotherapy / / Organization National Cancer Institute / Cambridge University / Kenyon College / Stat Assoc / Oxford University / / Person Michael D. Radmacher / Estimation / Kevin Dobbin / Richard Simon / Lisa M. McShane / / Position investigator / Singer / Fisher / / Product DV / / ProvinceOrState Ohio / / Technology Bioinformatics / DNA Chip / gene expression / chemotherapy / prediction algorithm / http / class prediction algorithms / machine learning / simulation / genotype / prediction algorithms / profiling gene expression / / URL http /
SocialTag |
COMMENTARY Pitfalls in the Use of DNA Microarray Data for Diagnostic and Prognostic Classification Richard Simon, Michael D. Radmacher, Kevin Dobbin, Lisa M. McShane DNA microarrays have made it possible to estimate the