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BMCBI
2006
186views more  BMCBI 2006»
14 years 11 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
BMCBI
2006
92views more  BMCBI 2006»
14 years 11 months ago
Demonstration of two novel methods for predicting functional siRNA efficiency
Background: siRNAs are small RNAs that serve as sequence determinants during the gene silencing process called RNA interference (RNAi). It is well know that siRNA efficiency is cr...
Peilin Jia, Tieliu Shi, Yu-Dong Cai, Yixue Li
JMLR
2010
121views more  JMLR 2010»
14 years 6 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor
ML
2010
ACM
175views Machine Learning» more  ML 2010»
14 years 6 months ago
Concept learning in description logics using refinement operators
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
Jens Lehmann, Pascal Hitzler
CSCWD
2008
Springer
15 years 1 months ago
Task partition for function tree according to innovative functional reasoning
Task partition is a critical problem of collaborative conceptual design. Aiming at the shortage that current task partition methods don't accord to innovative functional reas...
Yiming Tang, Xiaoping Liu