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» Unfolding of Microarray Data
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BMCBI
2006
202views more  BMCBI 2006»
13 years 8 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
COMPLIFE
2006
Springer
13 years 12 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
NIPS
2003
13 years 9 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
BMCBI
2008
138views more  BMCBI 2008»
13 years 8 months ago
Novel implementation of conditional co-regulation by graph theory to derive co-expressed genes from microarray data
Background: Most existing transcriptional databases like Comprehensive Systems-Biology Database (CSB.DB) and Arabidopsis Microarray Database and Analysis Toolbox (GENEVESTIGATOR) ...
Arun Rawat, Georg J. Seifert, Youping Deng
BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
13 years 12 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...