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81
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BMCBI
2006
154views more  BMCBI 2006»
14 years 10 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang
105
Voted
BMCBI
2005
163views more  BMCBI 2005»
14 years 10 months ago
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
112
Voted
BMCBI
2011
14 years 1 months ago
Binding Site Prediction for Protein-Protein Interactions and Novel Motif Discovery using Re-occurring Polypeptide Sequences
Background: While there are many methods for predicting protein-protein interaction, very few can determine the specific site of interaction on each protein. Characterization of t...
Adam Amos-Binks, Catalin Patulea, Sylvain Pitre, A...
ICCS
2005
Springer
15 years 3 months ago
Evolutionary Discovery of Arbitrary Self-replicating Structures
In this paper we describe our recent use of genetic programming methods to automatically discover CA rule sets that produce self-replication of arbitrary given structures. Our init...
Zhijian Pan, James A. Reggia
ECAI
2006
Springer
15 years 1 months ago
Learning by Automatic Option Discovery from Conditionally Terminating Sequences
Abstract. This paper proposes a novel approach to discover options in the form of conditionally terminating sequences, and shows how they can be integrated into reinforcement learn...
Sertan Girgin, Faruk Polat, Reda Alhajj