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ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
13 years 3 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
BIOTECHNO
2008
IEEE
14 years 8 days ago
Grouping Levels of Exposure with Same Observable Effects before Class Prediction in Toxicogenomics
—Gene expression profiling in toxicogenomics is often used to find molecular signature of toxicants. The range of doses chosen in toxicogenomics studies does not always represe...
Vincent Guillemot, Cathy Philippe, Arthur Tenenhau...
RECOMB
2003
Springer
14 years 6 months ago
Physical network models and multi-source data integration
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Chen-Hsiang Yeang, Tommi Jaakkola
RECOMB
2005
Springer
14 years 6 months ago
Using Multiple Alignments to Improve Gene Prediction
The multiple species de novo gene prediction problem can be stated as follows: given an alignment of genomic sequences from two or more organisms, predict the location and structur...
Samuel S. Gross, Michael R. Brent
BIOCOMP
2006
13 years 7 months ago
Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates
Based on microarray gene expression datasets, many statistical methods have been proposed to locate the significant differentially expressed genes (marker genes) among different sa...
Atiq Islam, Khan M. Iftekharuddin, David J. Russom...