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» Can we Find Molecular Signatures from Gene Expression Data
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BMCBI
2006
173views more  BMCBI 2006»
13 years 8 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
BMCBI
2007
130views more  BMCBI 2007»
13 years 8 months ago
A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
Background: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, th...
Reuben Thomas, Carlos J. Paredes, Sanjay Mehrotra,...
BMCBI
2006
164views more  BMCBI 2006»
13 years 8 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
CPM
2004
Springer
108views Combinatorics» more  CPM 2004»
14 years 2 months ago
Quadratic Time Algorithms for Finding Common Intervals in Two and More Sequences
A popular approach in comparative genomics is to locate groups or clusters of orthologous genes in multiple genomes and to postulate functional association between the genes contai...
Thomas Schmidt, Jens Stoye
BIBE
2004
IEEE
179views Bioinformatics» more  BIBE 2004»
14 years 13 days ago
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study
This research explores the feasibility of semantic similarity approaches to supporting predictive tasks in functional genomics. It aims to establish potential relationships betwee...
Francisco Azuaje, Olivier Bodenreider