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» Combining microarrays and genetic analysis
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BMCBI
2006
184views more  BMCBI 2006»
13 years 10 months ago
PathSys: integrating molecular interaction graphs for systems biology
Background: The goal of information integration in systems biology is to combine information from a number of databases and data sets, which are obtained from both high and low th...
Michael Baitaluk, Xufei Qian, Shubhada Godbole, Al...
BMCBI
2006
126views more  BMCBI 2006»
13 years 10 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
BMCBI
2010
95views more  BMCBI 2010»
13 years 10 months ago
An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data
Background: ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of prot...
Congmao Wang, Jie Xu, Dasheng Zhang, Zoe A. Wilson...
CG
2002
Springer
13 years 9 months ago
Gentropy: evolving 2D textures
Gentropy is a genetic programming system that evolves two-dimensional procedural textures. It synthesizes textures by combining mathematical and image manipulation functions into ...
Andrea L. Wiens, Brian J. Ross
BMCBI
2010
154views more  BMCBI 2010»
13 years 10 months ago
An eScience-Bayes strategy for analyzing omics data
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg