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BMCBI
2004
185views more  BMCBI 2004»
13 years 8 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
BMCBI
2007
154views more  BMCBI 2007»
13 years 9 months ago
h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
Yvonne E. Pittelkow, Susan R. Wilson
ICCAD
2005
IEEE
81views Hardware» more  ICCAD 2005»
14 years 5 months ago
Kauffman networks: analysis and applications
Abstract— A Kauffman network is an abstract model of gene regulatory networks. Each gene is represented by a vertex. An edge from one vertex to another implies that the former ge...
Elena Dubrova, Maxim Teslenko, Andrés Marti...
BMCBI
2010
208views more  BMCBI 2010»
13 years 9 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
BMCBI
2008
111views more  BMCBI 2008»
13 years 9 months ago
Comparative optimism in models involving both classical clinical and gene expression information
Background: In cancer research, most clinical variables have already been investigated and are now well established. The use of transcriptomic variables has raised two problems: r...
Caroline Truntzer, Delphine Maucort-Boulch, Pascal...