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IEAAIE
2010
Springer
13 years 6 months ago
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles
Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
Daniel Urda, José Luis Subirats, Leonardo F...
BMCBI
2007
182views more  BMCBI 2007»
13 years 8 months ago
Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data
Background: ChIP-chip data, which indicate binding of transcription factors (TFs) to DNA regions in vivo, are widely used to reconstruct transcriptional regulatory networks. Howev...
Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
MICCAI
2004
Springer
14 years 9 months ago
Landmark-Driven, Atlas-Based Segmentation of Mouse Brain Tissue Images Containing Gene Expression Data
To better understand the development and function of the mammalian brain, researchers have begun to systematically collect a large number of gene expression patterns throughout the...
Ioannis A. Kakadiaris, Musodiq Bello, Shiva Arunac...
BMCBI
2005
89views more  BMCBI 2005»
13 years 8 months ago
Theme discovery from gene lists for identification and viewing of multiple functional groups
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
Petri Pehkonen, Garry Wong, Petri Töröne...
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Predicting gene function by combining expression and interaction data
In this study we combined the spurious protein interaction data from the Database of Interacting Proteins with the recently published gene expression data of S. cerevisiae grown w...
Rogier J. P. van Berlo, Lodewyk F. A. Wessels, S. ...