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» Analyzing time series gene expression data
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BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 7 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
BIBE
2006
IEEE
139views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
A Computational Inference Framework for analyzing Gene Regulation Pathway using Microarray Data
Microarray experiments produce gene expression data at such a high speed and volume that it is imperative to use highly specialized computational tools for their analyses. One grou...
Dong-Guk Shin, John Bluis, Yoo Ah Kim, Winfried Kr...
NAR
2010
194views more  NAR 2010»
13 years 2 months ago
AltAnalyze and DomainGraph: analyzing and visualizing exon expression data
Alternative splicing is an important mechanism for increasing protein diversity. However, its functional effects are largely unknown. Here, we present our new software workflow co...
Dorothea Emig, Nathan Salomonis, Jan Baumbach, Tho...
BMCBI
2010
115views more  BMCBI 2010»
13 years 7 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,...
ICIC
2009
Springer
13 years 5 months ago
Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks
This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential...
Bin Yang, Yuehui Chen, Qingfang Meng