Montreal, QC, Canada 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
Last update Sat May 18 18:15:14 2013
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- Chengpeng Bi, Carrie A. Vyhlidal, J. Steven Leeder:
Supervised learning of maternal cigarette-smoking signatures from placental gene expression data: A case study.
- Marco A. Alvarez, Changhui Yan:
Exploring structural modeling of proteins for kernel-based enzyme discrimination.
- Alain B. Tchagang, Heather Shearer, Sieu Phan, Hugo Bérubé, Fazel Famili, Pierre R. Fobert, Youlian Pan:
Towards a temporal modeling of the genetic network controlling Systemic Acquired Resistance in Arabidopsis thaliana.
- Nassim Sohaee, Christian V. Forst:
Modular clustering of protein-protein interaction networks.
- Farhana Naznin, Ruhul A. Sarker, Daryl Essam:
DGA: Decomposition with genetic algorithm for multiple sequence alignment.
- Haixin Wang, James E. Glover, Lijun Qian:
A comparative study of the time-series data for inference of gene regulatory networks using B-Spline.
- Yaohang Li, Ionel Rata, Eric Jakobsson:
Integrating multiple scoring functions to improve protein loop structure conformation space sampling.
- 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.
- Gene M. Ko, A. Srinivas Reddy, Sunil Kumar, Srinivas A. Bailey, Rajni Garg:
Classification of HIV-1 protease crystal structures using Random Forest, linear discriminant analysis and logistic regression.
- Rao M. Kotamarti, Michael Hahsler, Douglas W. Raiford, Margaret H. Dunham:
Sequence transformation to a complex signature form for consistent phylogenetic tree using Extensible Markov Model.
- Yaochu Jin, Jens Trommler:
A fitness-independent evolvability measure for evolutionary developmental systems.
- Guangzhe Fan, Jiguo Cao, Jiheng Wang:
Functional data classification for temporal gene expression data with kernel-induced random forests.
- 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.
- Piyushkumar A. Mundra, Jagath C. Rajapakse:
Support vectors based correlation coefficient for gene and sample selection in cancer classification.
- Qian Xu, Derek Hao Hu, Hong Xue, Qiang Yang:
Predicting chemical activities from structures by attributed molecular graph classification.
- Joseph A. Brown, Sheridan K. Houghten, Daniel A. Ashlock:
Side effect machines for quaternary edit metric decoding.
- Daniel A. Ashlock, Andrew McEachern:
Nearest neighbor training of side effect machines for sequence classification.
- Na'el Abu-halaweh, Robert W. Harrison:
Identifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees.
- Jianlong Qi, Tom Michoel, Gregory Butler:
A regression tree-based Gibbs sampler to learn the regulation programs in a transcription regulatory module network.
- Amit Sabnis, Robert W. Harrison:
Simulation of oscillatory dynamics of blood testosterone levels using the crossover method.
- Xiangfang Li, Lijun Qian, Edward R. Dougherty:
Modeling treatment and drug effects at the molecular level using hybrid system theory.
- Wei Wang, Man-Wai Mak, Sun-Yuan Kung:
Speeding up subcellular localization by extracting informative regions of protein sequences for profile alignment.
- Kay C. Wiese, Andrew Hendriks:
Expanded study of efn2 thermodynamic model performance on RnaPredict, an evolutionary algorithm for RNA folding.
- Jun Zheng, Olac Fuentes, Ming-Ying Leung:
Super-resolution of mammograms.
- Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden:
New approaches to clustering microarray time-series data using multiple expression profile alignment.
- Christine Kehyayan, Gregory Butler:
Issues with the PipeAlign phylogenomics toolkit in identifying protein subfamilies.
- Yifeng Li, Alioune Ngom, Luis Rueda:
Missing value imputation methods for gene-sample-time microarray data analysis.
- Adrienne Breland, Mehmet Hadi Günes, Karen Schlauch, Frederick C. Harris Jr.:
Mixing patterns in a global influenza a virus network using whole genome comparisons.
- Jennifer A. Smith:
Computation intelligence method to find generic non-coding RNA search models.
- Nicholas George Erho, Kay C. Wiese:
An exploration of individual RNA structural elements in RNA gene finding.
- Christopher J. F. Cameron, Eddie Y. T. Ma, Timothy C. Kremer:
Neural grammar networks for toxicology.
- Kengo Sato, Tom Whitington, Timothy L. Bailey, Paul Horton:
Improved prediction of transcription binding sites from chromatin modification data.
- Grant R. Brammer, Tiffani L. Williams:
Using decision trees to study the convergence of phylogenetic analyses.
- Wendy Ashlock, Suprakash Datta:
Detecting retroviruses using reading frame information and side effect machines.
- 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.
- Salik R. Yadav, Steven M. Corns:
Improved PCR design for mouse DNA by training finite state machines.
- Bahareh Pourbabaee, Caro Lucas:
Paroxysmal Atrial Fibrillation diagnosis based on feature extraction and classification.
- Justin Schonfeld, Dan Ashlock:
Classifying Cytochrome c Oxidase subunit 1 by translation initiation mechanism using side effect machines.
- Ismet Sahin, Nuri Yilmazer:
A Discrete Fourier Transform method for alignment of visual evoked potentials.
- Zejin Jason Ding, Yan-Qing Zhang:
Additive noise analysis on microarray data via SVM classification.
- Pavan Kumar Attaluri, Zhengxin Chen, Guoqing Lu:
Applying neural networks to classify influenza virus antigenic types and hosts.
- Monique Laberge, Istvan Kovesi:
Principal components analysis filters functionally significant peroxidase motions.