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» Analysis of Variance for Gene Expression Microarray Data
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ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 6 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
BMCBI
2007
78views more  BMCBI 2007»
15 years 1 months ago
Improved human disease candidate gene prioritization using mouse phenotype
Background: The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-thro...
Jing Chen, Huan Xu, Bruce J. Aronow, Anil G. Jegga
BMCBI
2007
131views more  BMCBI 2007»
15 years 1 months ago
FUNC: a package for detecting significant associations between gene sets and ontological annotations
Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Informatio...
Kay Prüfer, Bjoern Muetzel, Hong Hai Do, Gunt...
BMCBI
2007
162views more  BMCBI 2007»
15 years 1 months ago
Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
BMCBI
2010
178views more  BMCBI 2010»
15 years 1 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...