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» Classification of microarray data using gene networks
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ICCTA
2007
IEEE
15 years 3 months ago
New Distance Measure for Microarray Gene Expressions Using Linear Dynamic Range of Photo Multiplier Tube
This paper deals with a new distance measure for genes using their microarray expressions. The distance measure is called, "Maxrange distance", where an experiment speci...
Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, San...
119
Voted
BMCBI
2010
153views more  BMCBI 2010»
14 years 12 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
BMCBI
2007
126views more  BMCBI 2007»
14 years 11 months ago
Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation
Background: Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism. To derive a systems view for the regulation...
Gunnar Schramm, Marc Zapatka, Roland Eils, Rainer ...
BMCBI
2008
166views more  BMCBI 2008»
14 years 12 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
CSB
2005
IEEE
205views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Fractal Clustering for Microarray Data Analysis
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...