Predicting cancer type with dimensionality-reduced gene expression micro-array data.

Autor: Santoro M; Dept. of Computer Science, Tennessee Technological University, Cookeville, TN, USA., Talbert DA
Jazyk: angličtina
Zdroj: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2005, pp. 1104.
Abstrakt: Predictive modeling based on gene expression data is complicated by the high dimensionality (number of genes) of microarray data given the number of available samples. We investigate a method for reducing the dimensionality of the data using singular value decomposition.
Databáze: MEDLINE