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ORCIDCIBCB 2007: Honolulu, Hawaii, USA
- Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2007, Honolulu, Hawaii, USA, April 1-5, 2007, Part of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2007). IEEE 2007, ISBN 1-4244-0710-9
- Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie:
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. 1-8 - Filippo Menolascina, Stefania Tommasi, Angelo Paradiso, Marco Cortellino, Vitoantonio Bevilacqua, Giuseppe Mastronardi:
Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective. 9-16 - Ji He, Xinbin Dai, Xuechun Zhao:
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression. 17-24 - Dan Ashlock, Ling Guo:
Evolutionary Parameter Setting of Multi-clustering. 25-31 - Hui-Ling Huang, Yi-Hsiung Chen, Dwight D. Koeberl, Shinn-Ying Ho:
Boosting Evolutionary Support Vector Machine for Designing Tumor Classifiers from Microarray Data. 32-38 - Jahangheer S. Shaik, Mohammed Yeasin:
Two-way Clustering using Fuzzy ASI for Knowledge Discovery in Microarrays. 39-45 - Jack Y. Yang, Andrzej Niemierko, Mary Qu Yang, Zuojie Luo, Jianling Li:
Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches. 46-53 - Nancy L. Sobczak, George F. Corliss, Martin A. Seitz, Peter J. Tonellato:
Cluster Methodology Defines Archetype Sentinel Consomic Rats. 54-57 - Lan Chang, Pau-Choo Chung, Chang Wen Chen:
Combining Neural Network and Wavelet Transformn for Trigger Asynchrony Detection. 58-64 - Vincent S. Tseng, Chun-Hao Chen, Hsiao-Ming Chen, Hui-Jen Chang, Chin-Tai Yu:
Analysis and Prevention of Dispension Errors by Using Data Mining Techniques. 65-70 - Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merrill Knapp, Carolyn L. Talcott, Keith Laderoute, Joe W. Gray, Paul T. Spellman:
Spectral Decomposition of Signaling Networks. 76-81 - Haixin Wang, Lijun Qian, Edward R. Dougherty:
Inference of Gene Regulatory Networks using S-System: A Unified Approach. 82-89 - Nelli Shimko, Marie-Pierre Dubé:
Gene-Gene Interaction Tests Using SVM and Neural Network Modeling. 90-97 - Christine Smyth, Danny Coomans:
Clustering Microarrays with Predictive Weighted Ensembles. 98-105 - Vincent S. Tseng, Lien-Chin Chen, Jian-Jie Liu:
Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data. 106-112 - Noha A. Yousri
, Mohamed A. Ismail, Mohamed S. Kamel:
Discovering Connected Patterns in Gene Expression Arrays. 113-120 - Chase Krumpelman, Joydeep Ghosh:
Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data. 121-126 - Evgeny Gladilin, Sandra Götze, Jose Mateos-Langerak, Roel van Driel, Karl Rohr, Roland Eils:
Geometrical probability approach for analysis of 3D chromatin structure in interphase cell nuclei. 127-134 - Dongsheng Che, Jizhen Zhao, Liming Cai, Ying Xu:
Operon Prediction in Microbial Genomes Using Decision Tree Approach. 135-142 - Ye-In Chang, Wei-Horng Yeh, Jiun-Rung Chen, Jen-Wei Hu:
An ACGT-Words Tree for Efficient Data Access in Genomic Databases. 143-150 - Moulik Kothari, Bernard M. E. Moret:
An Experimental Evaluation of Inversion-and Transposition-Based Genomic Distances through Simulations. 151-158 - Tristan Cazenave:
Overestimation for Multiple Sequence Alignment. 159-164 - Kuo-Chen Li, Dar-Jen Chang, Eric C. Rouchka, Yuan Yan Chen:
Biological Sequence Mining Using Plausible Neural Network and its Application to Exon/intron Boundaries Prediction. 165-169 - Patricia Francis-Lyon, Nello Cristianini, Stephen R. Holbrook:
Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. 170-177 - Zuojian Tang, Sieu Phan, Youlian Pan, A. Fazel Famili:
Prediction of Co-Regulated Gene Groups through Gene Ontology. 178-184 - Fatemeh Bakouie, Mohammad H. Moradi:
Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering. 185-188 - Jennifer Hallinan, Anil Wipat:
Motifs and Modules in Fractured Functional Yeast Networks. 189-196 - Amit U. Sinha, Raj Bhatnagar:
Efficient and Scalable Motif Discovery using Graph-based Search. 197-204 - Qian Zhong, Riccardo Boscolo, Timothy S. Gardner, Vwani P. Roychowdhury:
Inferring Regulatory Interactions between Transcriptional Factors and Genes by Propagating Known Regulatory Links. 205-211 - Bogdan Done, Purvesh Khatri, Arina Done, Sorin Draghici:
Semantic Analysis of Genome Annotations using Weighting Schemes. 212-218 - Pooja, Jagath C. Rajapakse:
Comparison of Human and Mouse Pseudogenes. 219-224 - Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations. 233-238 - Herbert H. Tsang, Kay C. Wiese:
SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules. 239-246 - Swati Pande, Amar Raheja, Dennis R. Livesay:
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks. 247-253 - Menaka Rajapakse, Feng Lin:
Predicting Peptide Binders of Flexible Lengths with Genetic Annealing Algorithm. 262-267 - Scott F. Smith:
RNA Gene Finding with Biased Mutation Operators. 268-274 - Chengpeng Bi:
A Genetic-Based EM Motif-Finding Algorithm for Biological Sequence Analysis. 275-282 - Raul Cruz-Cano, Deepak Chandran, Ming-Ying Leung:
Computational Prediction of Replication Origins in Herpesviruses. 283-290 - Pawel Kupis, Jacek Mandziuk:
Evolutionary-Progressive Method for Multiple Sequence Alignment. 291-297 - Mihail Popescu, Dong Xu, Erik Taylor:
GoFuzzKegg: Mapping Genes to KEGG Pathways Using an Ontological Fuzzy Rule System. 298-303 - Sara Nasser, Gregory Vert, Monica N. Nicolescu, Alison Murray:
Multiple Sequence Alignment using Fuzzy Logic. 304-311 - Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota, Hisao Ishibuchi:
Cost-Sensitive Fuzzy Classification for Medical Diagnosis. 312-316 - Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan:
Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. 317-322 - Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre:
Hybrid Architecture for Accelerating DNA Codeword Library Searching. 323-330 - Miguel Rocha, José P. Pinto, Isabel Rocha, Eugénio C. Ferreira:
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms. 331-337 - Dan Ashlock, Fatemeh Jafargholi:
Evolving Extremal Epidemic Networks. 338-345 - Heike Sichtig:
Building Smart Machines by Utilizing Spiking Neural Networks; Current Perspectives. 346-350 - Waldo Cancino Ticona, Alexandre C. B. Delbem:
Multi-Criterion Phylogenetic Inference using Evolutionary Algorithms. 351-358 - Luiz C. S. Rozante, Marco Dimas Gubitoso, Sergio R. Matioli:
A Framework for Discrete Modeling of Juxtacrine Signaling Systems. 359-366 - Stefan Maetschke, Marcus Gallagher, Mikael Bodén:
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins. 367-372 - George Papadopoulos, Martin Brown:
Feature Sensitivity on Biochemical Signaling Pathways. 373-380 - Jing Yang, Visakan Kadirkamanathan, Stephen A. Billings:
In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter. 387-394 - Jayavardhana Gubbi, Alistair Shilton, Marimuthu Palaniswami, Michael Parker:
Real Value Solvent Accessibility Prediction using Adaptive Support Vector Regression. 395-401 - Shotaro Akaho, Kenji Fukumizu:
Active Learning for Network Estimation. 402-409 - Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm. 410-417 - Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan:
Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. 418-425 - Karsten Kube, Andreas Herzog, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
Synchronization in Complex Dynamical Networks. 426-431 - Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das:
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes. 439-446 - Jie Zhou, Sundeep Yedida:
Channel Selection in EEG-based Prediction of Shoulder/Elbow Movement Intentions involving Stroke Patients: A Computational Approach. 455-460 - Pedro Gabriel Ferreira, Cândida G. Silva, Rui M. M. Brito, Paulo J. Azevedo:
A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering. 461-468 - James C. Costello, Jade E. Buchanan-Carter, Mehmet M. Dalkilic, Justen Andrews:
Using Drosophila melanogaster Data to Discover Disease-Related Protein Interactions in Humans. 469-475 - Yalan Ye, Jing Wan, Zhi-Lin Zhang, Chen Jia, Wu Lei:
A Flexible Fully-Multiplicative Orthogonal-Group Based ICA Algorithm. 476-479 - Jen-Suh Chern, Saiwei Yang, Chi-Wen Long, Chen-Yu Lo:
The Difference of Bilateral Limbs Involvement During Trunk Bending and Reaching in Stroke Patients. 480-487 - Yuchou Chang, Dah-Jye Lee, Yonggang Wang:
Color-Texture Segmentation of Medical Images Based on Local Contrast Information. 488-493 - Matthias Dose, Christian Gruber, Ariane Grunz, Christian Hook, Jürgen Kempf, Georg Scharfenberg, Bernhard Sick:
Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills. 494-501 - Amin Assareh, Mohammad H. Moradi:
Extracting Efficient Fuzzy If-Then Rules from Mass Spectra of Blood Samples to Early Diagnosis of Ovarian Cancer. 502-506
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