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» Clustering gene expression patterns
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KDD
2008
ACM
206views Data Mining» more  KDD 2008»
15 years 10 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
BMCBI
2008
128views more  BMCBI 2008»
14 years 9 months ago
In silico analysis of expressed sequence tags from Trichostrongylus vitrinus (Nematoda): comparison of the automated ESTExplorer
Background: The analysis of expressed sequence tags (EST) offers a rapid and cost effective approach to elucidate the transcriptome of an organism, but requires several computatio...
Shivashankar H. Nagaraj, Robin B. Gasser, Alasdair...
ICMCS
2006
IEEE
138views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Generating Expressive Summaries for Speech and Musical Audio using Self-Similarity Clues
We present a novel algorithm for structural analysis of audio to detect repetitive patterns that are suitable for content-based audio information retrieval systems, since repetiti...
Mustafa Sert, Buyurman Baykal, Adnan Yazici
CEC
2011
IEEE
13 years 10 months ago
Inferring transcriptional regulators for sets of co-expressed genes by multi-objective evolutionary optimization
Abstract—Higher organisms are able to respond to continuously changing external conditions by transducing cellular signals into specific regulatory programs, which control gene ...
Adrian Schröder, Clemens Wrzodek, Johannes Wo...
BMCBI
2004
150views more  BMCBI 2004»
14 years 9 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk