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» Building Genetic Networks for Gene Expression Patterns
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BMCBI
2004
205views more  BMCBI 2004»
14 years 9 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
BMCBI
2006
216views more  BMCBI 2006»
14 years 9 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
BMCBI
2010
214views more  BMCBI 2010»
14 years 9 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
JCB
2008
81views more  JCB 2008»
14 years 9 months ago
Estimating the Ancestral Recombinations Graph (ARG) as Compatible Networks of SNP Patterns
Traditionally nonrecombinant genome, i.e., mtDNA or Y chromosome, has been used for phylogeography, notably for ease of analysis. The topology of the phylogeny structure in this c...
Laxmi Parida, Marta Melé, Francesc Calafell...
PR
2006
76views more  PR 2006»
14 years 9 months ago
A pattern recognition-based approach for phylogenetic network construction with constrained recombination
The tree representation of evolutionary relationship oversimplifies the view of the process of evolution as it cannot take into account the events such as horizontal gene transfer...
M. A. H. Zahid, Ankush Mittal, Ramesh Chandra Josh...