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» A framework for modelling virus gene expression data
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BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
15 years 3 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li
BMCBI
2007
135views more  BMCBI 2007»
14 years 9 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
BMCBI
2005
127views more  BMCBI 2005»
14 years 9 months ago
Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification
Background: Gene expression programs depend on recognition of cis elements in promoter region of target genes by transcription factors (TFs), but how TFs regulate gene expression ...
Li-Hsieh Lin, Hsiao-Ching Lee, Wen-Hsiung Li, Bor-...
RECOMB
2002
Springer
15 years 9 months ago
Discovering local structure in gene expression data: the order-preserving submatrix problem
This paper concerns the discovery of patterns in gene expression matrices, in which each element gives the expression level of a given gene in a given experiment. Most existing me...
Amir Ben-Dor, Benny Chor, Richard M. Karp, Zohar Y...
BMCBI
2010
115views more  BMCBI 2010»
14 years 9 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...