Invited Review-R1 1 MICROARRAY ANALYSIS OF GENE EXPRESSION: CONSIDERATIONS IN DATA MINING AND STATISTICAL TREATMENT
نویسندگان
چکیده
Acknowledgment: This work is supported by NIH NHLBI RO1 073087 to CKS. In addition, microarray related research in the laboratory is supported by NIH GM069589 and NS42617 to CKS. Correspondence: Professor Chandan K. Sen 512 Davis Heart & Lung Research Institute The Ohio State University Medical Center 473 W. 12 Avenue, Columbus, OH 43210 Tel. 614 247 7658; Fax 614 247 7818 [email protected] Page 1 of 28
منابع مشابه
Invited Review Microarray analysis of gene expression: considerations in data mining and statistical treatment
Joseph S. Verducci, Vincent F. Melfi, Shili Lin, Zailong Wang, Sashwati Roy, and Chandan K. Sen Laboratory of Molecular Medicine and DNA Microarray Facility, Davis Heart and Lung Research Institute, Department of Surgery, Department of Statistics, and Mathematical Biosciences Institute, The Ohio State University, Columbus, Ohio; Department of Statistics, Michigan State University, East Lansing,...
متن کاملMicroarray analysis of gene expression: considerations in data mining and statistical treatment.
DNA microarray represents a powerful tool in biomedical discoveries. Harnessing the potential of this technology depends on the development and appropriate use of data mining and statistical tools. Significant current advances have made microarray data mining more versatile. Researchers are no longer limited to default choices that generate suboptimal results. Conflicting results in repeated ex...
متن کاملDNA Microarrays and Gene Expression - From Experiments to Data Analysis and Modeling
dna microarrays and gene expression assets dna microarrays and gene expression from experiments to dna microarrays and gene expression: from experiments to dna microarrays and gene expression dna microarrays and gene expressionfrom experiments to dna microarrays and gene expression: from experiments to dna microarrays and computational analysis final sln a4.... microarray data integration and t...
متن کاملData Mining Methods for Microarray Data Analysis
The advent of gene expression microarray technology enables the simultaneous measurement of expression levels for thousands or tens of thousands of genes in a single experiment (Schena, et al., 1995). Analysis of gene expression microarray data presents unprecedented opportunities and challenges for data mining in areas such as gene clustering (Eisen, et al., 1998; Tamayo, et al., 1999), sample...
متن کاملA review of independent component analysis application to microarray gene expression data.
Independent component analysis (ICA) methods have received growing attention as effective data-mining tools for microarray gene expression data. As a technique of higher-order statistical analysis, ICA is capable of extracting biologically relevant gene expression features from microarray data. Herein we have reviewed the latest applications and the extended algorithms of ICA in gene clustering...
متن کامل