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» Gene Expression Data Management: A Case Study
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BMCBI
2008
115views more  BMCBI 2008»
15 years 7 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
ICDM
2008
IEEE
129views Data Mining» more  ICDM 2008»
16 years 1 months ago
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
Roberto Trasarti, Francesco Bonchi, Bart Goethals
BMCBI
2006
82views more  BMCBI 2006»
15 years 7 months ago
Transcriptomic response to differentiation induction
Background: Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A com...
G. W. Patton, Robert M. Stephens, I. A. Sidorov, X...
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
15 years 7 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
195
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NAR
2011
214views Computer Vision» more  NAR 2011»
14 years 9 months ago
starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data
MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (sRNAs) that regulate gene expression by targeting messenger RNAs. However, assigning miRNAs to their regu...
Jian-Hua Yang, Jun-Hao Li, Peng Shao, Hui Zhou, Yu...