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» Extensions to gene set enrichment
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IEEEMM
2007
146views more  IEEEMM 2007»
13 years 9 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
KRMED
2008
13 years 11 months ago
Exploiting Fast Classification of SNOMED CT for Query and Integration of Health Data
By constructing local extensions to SNOMED we aim to enrich existing medical and related data stores, simplify the expression of complex queries, and establish a foundation for se...
Michael Lawley
BMCBI
2010
132views more  BMCBI 2010»
13 years 10 months ago
Parallel multiplicity and error discovery rate (EDR) in microarray experiments
Background: In microarray gene expression profiling experiments, differentially expressed genes (DEGs) are detected from among tens of thousands of genes on an array using statist...
Wayne Wenzhong Xu, Clay J. Carter
BMCBI
2005
167views more  BMCBI 2005»
13 years 9 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
BMCBI
2008
111views more  BMCBI 2008»
13 years 10 months ago
A perl package and an alignment tool for phylogenetic networks
Background: Phylogenetic networks are a generalization of phylogenetic trees that allow for the representation of evolutionary events acting at the population level, like recombin...
Gabriel Cardona, Francesc Rosselló, Gabriel...