GEMS: A system for automated cancer diagnosis and biomarker discovery from microarray gene expression data
- 1 August 2005
- journal article
- research article
- Published by Elsevier BV in International Journal of Medical Informatics
- Vol. 74 (7-8), 491-503
- https://doi.org/10.1016/j.ijmedinf.2005.05.002
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosisBioinformatics, 2004
- Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progressionProceedings of the National Academy of Sciences of the United States of America, 2004
- ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining PlatformNeoplasia, 2004
- Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessmentThe Lancet, 2003
- Time and sample efficient discovery of Markov blankets and direct causal relationsPublished by Association for Computing Machinery (ACM) ,2003
- Pattern recognition in gene expression profiling using DNA array: a comparative study of different statistical methods applied to cancer classificationHuman Molecular Genetics, 2003
- The genetics and genomics of cancerNature Genetics, 2003
- Pitfalls in the Use of DNA Microarray Data for Diagnostic and Prognostic ClassificationJNCI Journal of the National Cancer Institute, 2003
- The Stanford Microarray Database: data access and quality assessment toolsNucleic Acids Research, 2003
- Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression MonitoringScience, 1999