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ORCIDCIBCB 2006: Toronto, Ontario, Canada
- Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2006, Renaissance Hotel Downtown, Toronto, Ontario, Canada, September 28-29, 2006. IEEE 2006, ISBN 1-4244-0623-4
- Yasir Arafat, Gour C. Karmakar, Joarder Kamruzzaman
, Juan Fernández-Recio:
Predicting Protein-Protein Interface using Desolvation Energy Similarity Matching. 1-8 - Changhui Yan, Jing Hu:
A Hidden Markov Model Approach to Identifying HTH Motifs Using Protein Sequence and Predicted Solvent Accessibility. 1-7 - Fa Zhang, Lin Xu, Jingchun Chen, Zhiyong Liu, Bo Yuan:
A method to integrate, assess and characterize the protein-protein interactions. 1-7 - Juan Carlos Fernandez, Edgar E. Vallejo, Enrique Morett:
Fuzzy C-means for inferring functional coupling of proteins from their phylogenetic profiles. 1-8 - Minh Ngoc Nguyen, Jagath C. Rajapakse:
Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas. 1-5 - Jung Hun Oh, Animesh Nandi, Prem Gurnani, Lynne Knowles, John Schorge, Kevin P. Rosenblatt, Jean Gao:
Classification of Relapse Ovarian Cancer on MALDI-TOF Mass Spectrometry Data. 1-8 - Yan Meng:
A Swarm Intelligence Based Algorithm for Proteomic Pattern Detection of Ovarian Cancer. 1-7 - A. Ammar Ghaibeh, Mikio Sasaki, Hiroshi Chuman:
Using Voronoi Grid and SVM Linear Regression in Drug Discovery. 1-6 - Ashish Anand, Gary B. Fogel, E. Ke Tang, Ponnuthurai N. Suganthan:
Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. 1-6 - Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene:
Integrating Affymetrix microarray data sets using probe-level test statistic for predicting prostate cancer. 1-8 - Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley:
Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm. 1-8 - Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman:
Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction. 1-8 - Reginaldo Bitello, Heitor S. Lopes:
A Differential Evolution Approach for Protein Folding. 1-5 - Leslie Regad, Juliette Martin, Anne-Claude Camproux:
Identification of non random motifs in loops using a structural alphabet. 1-9 - Cândida G. Silva, Vitaliy Ostropytskyy, Nuno Loureiro-Ferreira, Daniel P. Berrar, Martin T. Swain, Werner Dubitzky, Rui M. M. Brito:
P-found: The Protein Folding and Unfolding Simulation Repository. 1-8 - Simon Knott, Parvin Mousavi, Sergio Baranzini:
A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood. 1-8 - Mengxia Zhu, Qishi Wu, Yunfeng Yang, Jizhong Zhou:
A New Approach to Identify Functional Modules Using Random Matrix Theory. 1-7 - Patrick C. H. Ma, Keith C. C. Chan:
A Fuzzy Data Mining Technique for the Reconstruction of Gene Regulatory Networks from Time Series Expression Data. 1-8 - Ramesh Ram, Madhu Chetty, Trevor I. Dix:
Causal Modeling of Gene Regulatory Network. 1-8 - Jennifer Hallinan, Anil Wipat:
Clustering and Cross-talk in a Yeast Functional Interaction Network. 1-8 - Lutz Hamel:
Visualization of Support Vector Machines with Unsupervised Learning. 1-8 - Dharmesh M. Maniyar, Ian T. Nabney:
Data Visualization with Simultaneous Feature Selection. 1-8 - Habtom W. Ressom, Rency S. Varghese, Eduard Orvisky, Steven K. Drake, Glen L. Hortin, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman:
Biomarker Identification and Rule Extraction from Mass Spectral Serum Profiles. 1-7 - David M. Reif, Alison A. Motsinger, Brett A. McKinney, James E. Crowe Jr., Jason H. Moore:
Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. 1-8 - Mosaab Daoud, Stefan C. Kremer:
Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network. 1-7 - Audrey Girouard, Noah W. Smith, Donna K. Slonim:
Motif Evaluation by Leave-one-out Scoring. 1-7 - Lin Xu, Fa Zhang, Zhiyong Liu:
A profile-based protein sequence alignment algorithm for a domain clustering database. 1-8 - Wen-Yun Yang, Bao-Liang Lu, Yang Yang:
A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction. 1-8 - David Thornley, Stavros Petridis:
Machine Learning in Basecalling Decoding Trace Peak Behaviour. 1-8 - Amin R. Mazloom, Kalyan Basu, Sajal K. Das:
A Random Walk Modelling Approach for Passive Metabolic Pathways in Gram-Negative Bacteria. 1-8 - Kuanchung Chen, Yuh-Jyh Hu:
Bicluster Analysis of Genome-Wide Gene Expression. 1-7 - Kenneth Bryan, Padraig Cunningham:
Bottom-Up Biclustering of Expression Data. 1-8 - Young Bun Kim, Jean Gao:
A New Hybrid Approach for Unsupervised Gene Selection. 1-8 - Leszek Gasieniec, Cindy Y. Li, Paul Sant, Prudence W. H. Wong:
Efficient Probe Selection in Microarray Design. 1-8 - Boris G. Mirkin, Renata da Silva Camargo, Trevor I. Fenner, George Loizou, Paul Kellam:
Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses. 1-8 - Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie:
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. 1-8 - Dan Ashlock, Wendy Ashlock, Gary Umphry:
An Exploration of Differential Utility in Iterated Prisoner's Dilemma. 1-8 - Dan Ashlock, Karl Cottenie, Lindsey Carson, Kenneth Mark Bryden, Steven M. Corns:
An Evolutionary Algorithm for the Selection of Geographically Informative Species. 1-7 - Somayeh Mahdav, Shahriar Gharibzadeh, Mostafa Rezaei-Tavirani, Farzad Towhidkhah, Soheil Shafiee:
PSpice Simulation of Cardiac Impulse Propagation: studying the mechanisms of action potential propagation. 1-5 - Andrew Hamilton-Wright, Daniel W. Stashuk:
Clinical Characterization of Electromyographic Data Using Computational Tools. 1-7 - Nelli Shimko, Marie-Pierre Dubé:
Bootstrap Inference with Neural-Network Modeling for Gene-Disease Association Testing. 1-7 - Topon Kumar Paul, Hitoshi Iba:
Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease. 1-6 - Sara Mostafavi, Sergio Baranzini, Jorge Oksenberg, Parvin Mousavi:
A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis. 1-8 - Scott F. Smith:
Covariance Searches for ncRNA Gene Finding. 1-7 - Zhuozhi Wang, Elisabeth R. M. Tillier:
A Bayesian approach to pairwise RNA Secondary Structure Alignment. 1-8 - Jianmin Ma, Minh Ngoc Nguyen, Gary B. Fogel, Jagath C. Rajapakse:
Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs. 1-8 - Kay C. Wiese, Andrew Hendriks, Alain Deschênes:
Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding. 1-9 - Justin Schonfeld, Dan Ashlock:
Filtration and Depth Annotation Improve Non-linear Projection for RNA Motif Discovery. 1-8 - Jehan Zeb Shah, Naomie Salim:
A Fuzzy Kohonen SOM Implementation and Clustering of Bio-active Compound Structures for Drug Discovery. 1-6 - Ke Chen, Lukasz A. Kurgan, Jishou Ruan:
Optimization of the Sliding Window Size for Protein Structure Prediction. 1-7 - Kamil Grabowski, Wojciech Sankowski, Malgorzata Napieralska, Mariusz Zubert, Andrzej Napieralski:
Iris Recognition Algorithm Optimized for Hardware Implementation. 1-5 - Simon Knott, Parvin Mousavi, Sergio Baranzini:
A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood. 1-8 - Ji He, Xinbin Dai, Xuechun Zhao:
A Systematic Computational Approach for Transcription Factor Target Gene Prediction. 1-7 - Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das, Simon Daefler:
A Stochastic model to estimate the time taken for Protein-Ligand Docking. 1-8 - Ryosuke Watanabe, Edgar E. Vallejo, Enrique Morett:
Inferring functional coupling of proteins using the Evolutionary Bond Energy Algorithm. 1-6 - Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goebel, Guohui Lin:
A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction. 1-8 - Jarukit Lertbantanawong, Jonathan H. Chan:
A Systematic Statistical Process for Microarray Data Analysis: Countering the Limitations in the Public Data Sets. 1-8 - Guo-Hsing Lee, Nai-Yu Chuang, Wen-Dar Lin, Chung-Der Hsiao, Hahn-Ming Lee, Jan-Ming Ho:
E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags. 1-6 - Jianlong Qi, Jian Tang:
Gene Ontology Driven Feature Selection from Microarray Gene Expression Data. 1-7 - Habtom W. Ressom, Yuji Zhang, Jianhua Xuan, Yue Joseph Wang, Robert Clarke:
Inference of Gene Regulatory Networks from Time Course Gene Expression Data Using Neural Networks and Swarm Intelligence. 1-8 - Mariusz Zubert, Malgorzata Napieralska, Andrzej Napieralski, Beata Sikorska, Pawel Liberski, Rafal Grams:
The Image Registration of TME Biomedical Images in variant Creutzfeldt-Jakob Diseases. 1-8 - Hassan Masoom, Suprakash Datta, Amir Asif, Lesley Cunningham, Gillian Wu:
A Fast Algorithm for Detecting Frame Shifts in DNA sequences. 1-8 - Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor, Lukasz A. Kurgan:
Prediction of the Number of Helices for the Twilight Zone Proteins. 1-7 - Herbert H. Tsang, Kay C. Wiese:
SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction. 1-10 - Steven M. Corns, H. Scott Hurd, Dan Ashlock, Kenneth Mark Bryden:
Developing Antibiotic Regimens Using Evolutionary Algorithms. 1-6 - Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy:
A Novel Graphical Model Approach to Segmenting Cell Images. 1-8 - Jingyi Yang, Jitender S. Deogun:
G Protein-Coupled Receptor Classification at the Subfamily Level with Probabilistic Suffix Tree. 1-8
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