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BMCBI
2007
154views more  BMCBI 2007»
15 years 3 hour ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato
NAR
2011
157views Computer Vision» more  NAR 2011»
14 years 2 months ago
PlantTFDB 2.0: update and improvement of the comprehensive plant transcription factor database
We updated the plant transcription factor (TF) database to version 2.0 (PlantTFDB 2.0, http:// planttfdb.cbi.pku.edu.cn) which contains 53 319 putative TFs predicted from 49 speci...
He Zhang, Jinpu Jin, Liang Tang, Yi Zhao, Xiaochen...
TCBB
2008
107views more  TCBB 2008»
14 years 11 months ago
Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering
It is a consensus in microarray analysis that identifying potential local patterns, characterized by coherent groups of genes and conditions, may shed light on the discovery of pre...
Hyuk Cho, Inderjit S. Dhillon
IJDMB
2008
132views more  IJDMB 2008»
14 years 12 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
BMCBI
2005
121views more  BMCBI 2005»
14 years 11 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown