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ORCIDCIBCB 2008: Sun Valley, Idaho, USA
- Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2008, Sun Valley Resort, Sun Valley, Idaho, USA, September 15-17, 2008. IEEE 2008, ISBN 978-1-4244-1778-0
- Herbert H. Tsang
, Kay C. Wiese:
SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots. 1-8 - Mars Cheung, Gary B. Fogel:
Classification of mouse fRNA genes using evolved neural networks. 9-14 - Kay C. Wiese, Andrew Hendriks:
A hybrid clustering/evolutionary algorithm for RNA folding. 15-21 - Dan Ashlock, Elizabeth Warner:
Classifying synthetic and biological DNA sequences with side effect machines. 22-29 - Willard Davis, Ananth Kalyanaraman, Diane J. Cook:
An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data. 30-37 - Deborah Stoffer, L. Gwenn Volkert:
Exploring chaos automata for protein sequences. 38-45 - Hongwei Wu:
PCA-based linear combinations of oligonucleotide frequencies for metagenomic DNA fragment binning. 46-53 - Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda:
Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem. 54-61 - Chang Hun You, Lawrence B. Holder, Diane J. Cook:
Temporal and structural analysis of biological networks in combination with microarray data. 62-69 - Jin-Hyuk Hong, Sung-Bae Cho:
Cancer classification with incremental gene selection based on DNA microarray data. 70-74 - Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Luca Sterpone:
A graph-based representation of Gene Expression profiles in DNA microarrays. 75-82 - Jennifer Hallinan, Anil Wipat:
Network motifs in context: An exploration of the evolution of oscillatory dynamics in transcriptional networks. 83-89 - Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat:
Combining multiple types of biological data in constraint-based learning of gene regulatory networks. 90-97 - Maryam Salehi, Alan Ableson, Parvin Mousavi:
Reverse engineering time series of gene expression data using Dynamic Bayesian networks and covariance matrix adaptation evolution strategy with explicit memory. 98-105 - Maryam Salehi, Paul G. Young, Parvin Mousavi:
Reverse engineering of the transcriptional subnetwork in the yeast cell cycle pathway using Dynamic Bayesian Networks and evolutionary search. 106-111 - Margaret J. Eppstein, Paul Haake:
Very large scale ReliefF for genome-wide association analysis. 112-119 - Paul Michael Godley, David E. Cairns, Julie Cowie, John A. W. McCall:
Fitness directed intervention crossover approaches applied to bio-scheduling problems. 120-127 - Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje:
Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae. 128-135 - Alan E. Alex, Sumeet Dua, Pradeep Chowriappa:
Gene ranking through the integration of synchronization experiments. 136-142 - Rasha F. Kashef, Mohamed S. Kamel:
Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets. 143-150 - Sunil Kumar, Rajni Garg, Srinivas R. Alla, Xiaoyu Zhang, Vivek K. Jalahalli:
3D-Shape analysis of the HIV-1 protease ligand binding site. 151-158 - Chengpeng Bi, Michael C. Saunders, Bruce A. McPheron:
Neuro-fuzzy classification of the Rhagoletis pomonella species group using digitized wing structures. 159-165 - Jesslyn Saw, Maria Stepanova, Lin Feng:
Methods and strategies for construction of a phylogeny-adaptive hormone response element consensus model. 166-172 - Ji He:
Improving feature representation of natural language gene functional annotations using automatic term expansion. 173-179 - Thiago Bassani, Júlio C. Nievola:
Pattern recognition for brain-computer interface on disabled subjects using a wavelet transformation. 180-186 - Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Dragos Horvath:
Parallel multi-objective algorithms for the molecular docking problem. 187-194 - Yifeng Li, Yihui Liu:
A Wrapper Feature Selection Method Based on Simulated Annealing Algorithm for Prostate Protein Mass Spectrometry Data. 195-200 - Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shinn-Ying Ho:
ProLoc-rGO: Using rule-based knowledge with Gene Ontology terms for prediction of protein subnuclear localization. 201-206 - Winston Yu-Chen Chen, Po-Yuan Chen, Calvin Yu-Chian Chen, Jing-Gung Chung:
Exploring 3D-QSAR pharmacophore mapping of azaphenanthrenone derivatives for mPGES-1 inhibition Using HypoGen technique. 207-213 - Zejin Jason Ding, You Feng, Yujun George Zheng, Yan-Qing Zhang:
Granular decision fusion systems for effective protein methylation pPrediction. 214-218 - Jing Hu, Changhui Yan:
Mining sequence features for DNA-binding site prediction. 219-222 - Changchuan Yin, Stephen S.-T. Yau:
Numerical representation of DNA sequences based on genetic code context and its applications in periodicity analysis of genomes. 223-227 - Hua Cao, Bahram Khoobehi, S. Sitharama Iyengar:
Automated optic nerve head image fusion of nonhuman primate eyes using heuristic optimization algorithm. 228-232 - Arthur W. Mahoney, Brian G. Smith, Nicholas S. Flann, Gregory J. Podgorski:
Discovering novel cancer therapies: A computational modeling and search approach. 233-240 - Jia Zeng, Reda Alhajj:
Predicting translation initiation sites using a multi-agent architecture empowered with reinforcement learning. 241-248 - Srinivas R. Alla, Akmal Aulia, Sunil Kumar, Rajni Garg:
Using hybrid GA-ANN to predict biological activity of HIV protease inhibitors. 249-255 - Dan Ashlock, Taika von Konigslow, Elizabeth Clare, Wendy Ashlock:
Transience in the simulation of ring species. 256-263 - Dan Ashlock, Colin Lee:
Characterization of extremal epidemic networks with diffusion characters. 264-271 - Dan Ashlock, Nicholas Rogers:
A model of emotion in the prisoner's dilemma. 272-279
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