Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2010, Montreal, QC, Canada, May 2-5, 2010.
IEEE 2010, ISBN 978-1-4244-6766-2
Haixin Wang, James E. Glover, Lijun Qian: A comparative study of the time-series data for inference of gene regulatory networks using B-Spline.
1-5
Yaohang Li, Ionel Rata, Eric Jakobsson: Integrating multiple scoring functions to improve protein loop structure conformation space sampling.
1-8
Alan J. Barton: Searching for a single mathematical function to address the nonlinear retention time shifts problem in nanoLC-MS data: A fuzzy-evolutionary computational proteomics approach.
1-8
Yaochu Jin, Jens Trommler: A fitness-independent evolvability measure for evolutionary developmental systems.
1-8
Guangzhe Fan, Jiguo Cao, Jiheng Wang: Functional data classification for temporal gene expression data with kernel-induced random forests.
1-5
Noru Ichim-Moreno, Manuel Aranda, Christian R. Voolstra: Identification of a gene expression core signature for Duchenne muscular dystrophy (DMD) via integrative analysis reveals novel potential compounds for treatment.
1-6
Na'el Abu-halaweh, Robert W. Harrison: Identifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees.
1-7
Jianlong Qi, Tom Michoel, Gregory Butler: A regression tree-based Gibbs sampler to learn the regulation programs in a transcription regulatory module network.
1-8
Amit Sabnis, Robert W. Harrison: Simulation of oscillatory dynamics of blood testosterone levels using the crossover method.
1-6
Wei Wang, Man-Wai Mak, Sun-Yuan Kung: Speeding up subcellular localization by extracting informative regions of protein sequences for profile alignment.
1-8
Kay C. Wiese, Andrew Hendriks: Expanded study of efn2 thermodynamic model performance on RnaPredict, an evolutionary algorithm for RNA folding.
1-8
Wendy Ashlock, Suprakash Datta: Detecting retroviruses using reading frame information and side effect machines.
1-8
Gary B. Fogel, Jonathan Tran, Stephen Johnson, David Hecht: Machine learning approaches for customized docking scores: Modeling of inhibition of Mycobacterium tuberculosis enoyl acyl carrier protein reductase.
1-6
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