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Knowledge-based analysis of microarray gene expression data by using support vector machines

Description: The authors introduce a method of functionally classifying genes by using gene expression data from DNA microarray hybridization experiments. The method is based on the theory of support vector machines (SVMs). SVMs are considered a supervised computer learning method because they exploit prior knowledge of gene function to identify unknown genes of similar function from expression data. SVMs avoid several problems associated with unsupervised clustering methods, such as hierarchical clustering… more
Date: June 18, 2001
Creator: Grundy, William; Manuel Ares, Jr. & Haussler, David
Partner: UNT Libraries Government Documents Department
open access

HMM-Based Gene Annotation Methods

Description: Development of new statistical methods and computational tools to identify genes in human genomic DNA, and to provide clues to their functions by identifying features such as transcription factor binding sites, tissue, specific expression and splicing patterns, and remove homologies at the protein level with genes of known function.
Date: September 20, 1999
Creator: Haussler, David; Hughey, Richard & Karplus, Keven
Partner: UNT Libraries Government Documents Department
open access

An Enhancer Near ISL1 and an Ultraconserved Exon of PCBP2 areDerived from a Retroposon

Description: Hundreds of highly conserved distal cis-regulatory elementshave been characterized to date in vertebrate genomes1. Many thousandsmore are predicted based on comparative genomics2,3. Yet, in starkcontrast to the genes they regulate, virtually none of these regions canbe traced using sequence similarity in invertebrates, leaving theirevolutionary origin obscure. Here we show that a class of conserved,primarily non-coding regions in tetrapods originated from a novel shortinterspersed repetitive el… more
Date: November 27, 2005
Creator: Bejerano, Gill; Lowe, Craig; Ahituv, Nadav; King, Bryan; Siepel,Adam; Salama, Sofie et al.
Partner: UNT Libraries Government Documents Department
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