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» Smoothing Gene Expression Using Biological Networks
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BMCBI
2010
214views more  BMCBI 2010»
13 years 7 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
BMCBI
2006
186views more  BMCBI 2006»
13 years 7 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
MEMICS
2010
13 years 2 months ago
Modeling Gene Networks using Fuzzy Logic
Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Espec...
Artur Gintrowski
EVOW
2007
Springer
14 years 1 months ago
Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks
The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new meth...
Daniel Marbach, Claudio Mattiussi, Dario Floreano
BMCBI
2007
89views more  BMCBI 2007»
13 years 7 months ago
Combining dissimilarity based classifiers for cancer prediction using gene expression profiles
ent> <title> <p>Highlights from the Third International Society for Computational Biology (ISCB) Student Council Symposium at the Fifteenth Annual International Conf...
Ángela Blanco, Manuel Martín-Merino,...