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108
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GECCO
2006
Springer
172views Optimization» more  GECCO 2006»
15 years 4 months ago
Multi-objective optimisation of the protein-ligand docking problem in drug discovery
The pharmaceutical industry is facing an ever-increasing demand to discover novel drugs that are more effective and safer than existing ones. The industry faces huge problem in im...
A. Oduguwa, A. Tiwari, S. Fiorentino, R. Roy
109
Voted
BMVC
2010
14 years 10 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
BMCBI
2007
102views more  BMCBI 2007»
15 years 14 days ago
A mixture of feature experts approach for protein-protein interaction prediction
High-throughput methods can directly detect the set of interacting proteins in yeast but the results are often incomplete and exhibit high false positive and false negative rates....
Yanjun Qi, Judith Klein-Seetharaman, Ziv Bar-Josep...
BMCBI
2004
205views more  BMCBI 2004»
15 years 9 days ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
129
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BMCBI
2007
167views more  BMCBI 2007»
15 years 14 days ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk