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GCB
2005
Springer
74views Biometrics» more  GCB 2005»
14 years 2 months ago
Exploiting scale-free information from expression data for cancer classification
: In most studies concerning expression data analyses information on the variability of gene intensity across samples is usually exploited. This information is sensitive to initial...
Alexey V. Antonov, Igor V. Tetko, Denis Kosykh, Di...
BMCBI
2010
92views more  BMCBI 2010»
13 years 9 months ago
Integrating gene expression and GO classification for PCA by preclustering
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Jorn R. de Haan, Ester Piek, René C. van Sc...
JIB
2006
110views more  JIB 2006»
13 years 8 months ago
Combining biomedical knowledge and transcriptomic data to extract new knowledge on genes
In biomedical research, interpretation of microarray data requires confrontation of data and knowledge from heterogeneous resources, either in the biomedical domain or in genomics...
Emilie Guérin, Gwenaëlle Marquet, Juli...
BMCBI
2010
91views more  BMCBI 2010»
13 years 7 months ago
Washing scaling of GeneChip microarray expression
Background: Post-hybridization washing is an essential part of microarray experiments. Both the quality of the experimental washing protocol and adequate consideration of washing ...
Hans Binder, Knut Krohn, Conrad J. Burden
ACL
2006
13 years 10 months ago
A Bio-Inspired Approach for Multi-Word Expression Extraction
This paper proposes a new approach for Multi-word Expression (MWE)extraction on the motivation of gene sequence alignment because textual sequence is similar to gene sequence in p...
Jianyong Duan, Ruzhan Lu, Weilin Wu, Yi Hu, Yan Ti...