CIBCB 2010: Montreal, QC, Canada

• Chengpeng Bi, Carrie A. Vyhlidal, J. Steven Leeder:
  Supervised learning of maternal cigarette-smoking signatures from placental gene expression data: A case study. 1-6
  
• Marco A. Alvarez, Changhui Yan:
  Exploring structural modeling of proteins for kernel-based enzyme discrimination. 1-5
  
• 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. 1-8
  
• Nassim Sohaee, Christian V. Forst:
  Modular clustering of protein-protein interaction networks. 1-4
  
• Farhana Naznin, Ruhul A. Sarker, Daryl Essam:
  DGA: Decomposition with genetic algorithm for multiple sequence alignment. 1-8
  
• 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
  
• 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. 1-8
  
• 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. 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
  
• Piyushkumar A. Mundra, Jagath C. Rajapakse:
  Support vectors based correlation coefficient for gene and sample selection in cancer classification. 1-7
  
• Qian Xu, Derek Hao Hu, Hong Xue, Qiang Yang:
  Predicting chemical activities from structures by attributed molecular graph classification. 1-8
  
• Joseph A. Brown, Sheridan K. Houghten, Daniel A. Ashlock:
  Side effect machines for quaternary edit metric decoding. 1-8
  
• Daniel A. Ashlock, Andrew McEachern:
  Nearest neighbor training of side effect machines for sequence classification. 1-8
  
• 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
  
• Xiangfang Li, Lijun Qian, Edward R. Dougherty:
  Modeling treatment and drug effects at the molecular level using hybrid system theory. 1-7
  
• 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
  
• Jun Zheng, Olac Fuentes, Ming-Ying Leung:
  Super-resolution of mammograms. 1-7
  
• Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden:
  New approaches to clustering microarray time-series data using multiple expression profile alignment. 1-7
  
• Christine Kehyayan, Gregory Butler:
  Issues with the PipeAlign phylogenomics toolkit in identifying protein subfamilies. 1-6
  
• Yifeng Li, Alioune Ngom, Luis Rueda:
  Missing value imputation methods for gene-sample-time microarray data analysis. 1-7
  
• Adrienne Breland, Mehmet Hadi Günes, Karen Schlauch, Frederick C. Harris Jr.:
  Mixing patterns in a global influenza a virus network using whole genome comparisons. 1-8
  
• Jennifer A. Smith:
  Computation intelligence method to find generic non-coding RNA search models. 1-5
  
• Nicholas George Erho, Kay C. Wiese:
  An exploration of individual RNA structural elements in RNA gene finding. 1-9
  
• Christopher J. F. Cameron, Eddie Y. T. Ma, Timothy C. Kremer:
  Neural grammar networks for toxicology. 1-8
  
• Kengo Sato, Tom Whitington, Timothy L. Bailey, Paul Horton:
  Improved prediction of transcription binding sites from chromatin modification data. 1-7
  
• Grant R. Brammer, Tiffani L. Williams:
  Using decision trees to study the convergence of phylogenetic analyses. 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
  
• Salik R. Yadav, Steven M. Corns:
  Improved PCR design for mouse DNA by training finite state machines. 1-5
  
• Bahareh Pourbabaee, Caro Lucas:
  Paroxysmal Atrial Fibrillation diagnosis based on feature extraction and classification. 1-8
  
• Justin Schonfeld, Dan Ashlock:
  Classifying Cytochrome c Oxidase subunit 1 by translation initiation mechanism using side effect machines. 1-7
  
• Ismet Sahin, Nuri Yilmazer:
  A Discrete Fourier Transform method for alignment of visual evoked potentials. 1-3
  
• Zejin Jason Ding, Yan-Qing Zhang:
  Additive noise analysis on microarray data via SVM classification. 1-7
  
• Pavan Kumar Attaluri, Zhengxin Chen, Guoqing Lu:
  Applying neural networks to classify influenza virus antigenic types and hosts. 1-6
  
• Monique Laberge, Istvan Kovesi:
  Principal components analysis filters functionally significant peroxidase motions. 1-6
  

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