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CIBCB 2010: 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
- 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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