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» Semantic Mining and Analysis of Gene Expression Data
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IJKDB
2010
170views more  IJKDB 2010»
14 years 7 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
PSB
2004
14 years 11 months ago
Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
Xinghua Lu, Milos Hauskrecht, Roger S. Day
PKDD
2004
Springer
144views Data Mining» more  PKDD 2004»
15 years 3 months ago
SEWeP: A Web Mining System Supporting Semantic Personalization
We present SEWeP, a Web Personalization prototype system that integrates usage data with content semantics, expressed in taxonomy terms, in order to produce a broader yet semantica...
Stratos Paulakis, Charalampos Lampos, Magdalini Ei...
BMCBI
2010
126views more  BMCBI 2010»
14 years 10 months ago
GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
Background: The development of high-throughput laboratory techniques created a demand for computer-assisted result analysis tools. Many of these techniques return lists of genes w...
Joel Arrais, João Fernandes, João Pe...
BMCBI
2008
124views more  BMCBI 2008»
14 years 10 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li