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» Combined Gene Selection Methods for Microarray Data Analysis
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AINA
2008
IEEE
15 years 6 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
BMCBI
2006
67views more  BMCBI 2006»
14 years 11 months ago
Assessing stability of gene selection in microarray data analysis
Xing Qiu, Yuanhui Xiao, Alexander Gordon, Andrei Y...
BMCBI
2004
156views more  BMCBI 2004»
14 years 11 months ago
GeneXplorer: an interactive web application for microarray data visualization and analysis
Background: When publishing large-scale microarray datasets, it is of great value to create supplemental websites where either the full data, or selected subsets corresponding to ...
Christian A. Rees, Janos Demeter, John C. Matese, ...
BMCBI
2007
111views more  BMCBI 2007»
14 years 11 months ago
MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs
Background: A combination of multiple types of transcription factors and cis-regulatory elements is often required for gene expression in eukaryotes, and the combinatorial regulat...
Mamoru Kato, Tatsuhiko Tsunoda
BMCBI
2010
130views more  BMCBI 2010»
14 years 11 months ago
Knowledge-guided gene ranking by coordinative component analysis
Background: In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those gene...
Chen Wang, Jianhua Xuan, Huai Li, Yue Wang, Ming Z...