IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2007)

Table of Contents

Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks...1

Alison Motsinger, David Reif, Theresa Fanelli, Anna Davis and Marylyn Ritchie

Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective...9

Filippo Menolascina, Stefania Tommasi, Angelo Paradiso, Marco Cortellino and Vitoantonio Bevilacqua

Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression...17

Ji He, Xinbin Dai and Xuechun Zhao

Evolutionary Parameter Setting of Multi-clustering...25

Daniel Ashlock and Ling Guo

Boosting Evolutionary Support Vector Machine for Designing Tumor Classifiers from Microarray Data...32

Hui-Ling Huang, Yi-Hsiung Chen, Dwight D. Koeberl and Shinn-Ying Ho

Two-way Clustering using Fuzzy ASI for Knowledge Discovery in Microarrays...39

Jahangheer Shaik and Mohammed Yeasin

Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches...46

Jack Yang, Mary Yang, Zuojie Luo, Andrzej Niemierko and Jianling Li

Cluster Methodology Defines Archetype Sentinel Consomic Rats...54

Nancy Sobczak, George Corliss, Martin Seitz and Peter Tonellato

Combining Neural Network and Wavelet Transform for Trigger Asynchrony Detection...58

Lan Chang, Pau-Choo Chung and Chang-Wen Chen

Analysis and Prevention of Dispension Errors by Using Data Mining Techniques...65

Vincent S. Tseng, Chun-Hao Chen, Hsiao-Ming Chen, Hui-Jen Chang and Chin-Tai Yu

Neural Network as Crosstalk Models, an Example in Adrenaline and Insulin Signalling Pathways...71

Natasha Young and Zheng Rong Yang

Spectral Decomposition of Signaling Networks...76

Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Joe Gray and Paul Spellman

Inference of Gene Regulatory Networks using S-System: A Unified Approach...82

Haixin Wang, Lijun Qian and Edward Dougherty

Gene-Gene Interaction Tests Using SVM and Neural Network Modeling...90

Nelli Matchenko-Shimko and Marie-Pierre Dube

Clustering Microarrays with Predictive Weighted Ensembles...98

Christine Smyth and Danny Coomans

Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data...106

Vincent S. Tseng, Lien-Chin Chen and Jian-Jie Liu

Discovering Connected Patterns in Gene Expression Arrays...113

Noha Yousri, Mohamed Ismail and Mohamed Kamel

Matching and Visualization of Multiple Overlapping Clustering of Microarray Data...121

Chase Krumpelman and Joydeep Ghosh

Geometrical probability approach for analyis of 3D chromatin structure in interphase cell nuclei...127

Evgeny Gladilin, Sandra Goetze, Jose Mateos-Langerak, Roel van Driel and Karl Rohr

Operon Prediction in Microbial Genomes Using Decision Tree Approach...135

Dongsheng Che, Jizhen Zhao, Liming Cai and Ying Xu

An ACGT-Words Tree for Efficient Data Access in Genomic Databases...143

Ye-In Chang, Wei-Horng Yeh, Jiun-Rung Chen and Jen-Wei Hu

An Experimental Evaluation of Inversion- and Transposition-Based Genomic Distances through Simulations...151

Moulik Kothari and Bernard M.E. Moret

Overestimation for Multiple Sequence Alignment...159

Tristan Cazenave

Biological Sequence Mining Using Plausible Neural Network and its Application to Exon/intron Boundaries Prediction...165

Kuochen Li, Dar-jen Chang, Eric Rouchka and Yuan Yan Chen

Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar...170

Patricia Francis-Lyon, Nello Cristianini and Stephen Holbrook

Prediction of Co-Regulated Gene Groups through Gene Ontology...178

Zuojian Tang, Sieu Phan, Youlian Pan and Fazel Famili

Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering...185

Fatemeh Bakouie and Mohammad. Hassan Moradi

Motifs and Modules in Fractured Functional Yeast Networks...189

Jennifer Hallinan and Anil Wipat

Efficient and Scalable Motif Discovery using Graph-based Search...197

Amit Sinha and Raj Bhatnagar

Inferring Regulatory Interactions between Transcriptional Factors and Genes by Propagating Known Regulatory Links...205

Qian Zhong, Riccardo Boscolo, Timothy Gardner and Vwani Roychowdhury

Semantic Analysis of Genome Annotations using Weighting Schemes...212

Bogdan Done, Purvesh Khatri, Arina Done and Sorin Draghici

Comparison of Human and Mouse Pseudogenes...219

Pooja Pooja and Jagath Rajapakse

Reconsidering the Performance of Cooperative Rec-I-DCM3...225

Tiffani Williams and Marc Smith

Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations...233

Young-Rae Cho, Woochang Hwang and Aidong Zhang

SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules...239

Herbert H. Tsang and Kay C. Wiese

Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks...247

Swati Pande, Raheja Amar and Dennis Livesay

A comprehensive study of bidirectional promoters in the human genome...254

Mary Qu Yang and Laura L. Elnitski

Predicting Peptide Binders of Flexible Lengths with Genetic Annealing Algorithm...262

Menaka Rajapakse and Lin Feng

RNA Gene Finding with Biased Mutation Operators...268

Scott Smith

A Genetic-Based EM Motif-Finding Algorithm for Biological Sequence Analysis...275

Chengpeng Bi

Computational Prediction of Replication Origins in Herpesviruses...283

Raul Cruz-Cano, Deepak Chandran and Ming-Ying Leung

Evolutionary-Progressive Method for Multiple Sequence Alignment...291

Pawel Kupis and Jacek Mandziuk

GoFuzzKegg: Mapping Genes to KEGG Pathways Using an Ontological Fuzzy Rule System...298

Mihail Popescu,, Dong Xu and Erik Taylor

Multiple Sequence Alignment using Fuzzy Logic...304

Sara Nasser, Gregory Vert, Monica Nicolescu and Alison Murray

Cost-sensitive Fuzzy Classification for Medical Diagnosis...312

Gerald Schaefer, Tomoharu Nakashima, Yasuyuki Yokota and Hisao Ishibuchi

Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Information Extraction...317

Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert Harrison and Yi Pan

Hybrid Architecture for Accelerating DNA Codeword Library Searching...323

Qinru Qiu, Daniel Burns, Qing Wu and Prakash Mukre

Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms...331

Miguel Rocha, Jose P. Pinto, Isabel Rocha and Eugenio C. Ferreira

Evolving Extremal Epidemic Networks...338

Daniel Ashlock and Fatemeh Jafargholi

Building Smart Machines by Utilizing Spiking Neural Networks...346

Heike Sichtig

Multi-Criterion Phylogenetic Inference using Evolutionary Algorithms...351

Waldo Cancino and A.C.B. Delbem

A Framework for Discrete Modeling of Juxtacrine Signaling Systems...359

Luiz Rozante, Marco Gubitoso and Sergio Matioli

A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins...367

Stefan Maetschke, Marcus Gallagher and Boden Mikael

Feature Sensitivity on Biochemical Signaling Pathways...373

George Papadopoulos and Martin Brown

A comparison of computational strategies for multi-label prediction of protein subcellular localizations...381

Pingzhao Hu, Hui Jiang, and Andrew Emili

In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter...387

Jing Yang, Visakan Kadirkamanathan and Stephen Billings

Real Value Solvent Accessibility Prediction using Adaptive Support Vector Regression...395

Jayavardhana Gubbi, Alistair Shilton, Marimuthu Palaniswami and Michael Parker

Active Learning for Network Estimation...402

Shotaro Akaho and Kenji Fukumizu

Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm...410

Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings and Phillip Wright

Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining...418

Hae-Jin Hu, Hao Wang, Robert Harrison, Phang C. Tai and Yi Pan

Synchronization in Complex Dynamical Networks...426

Karsten Kube, Andreas Herzog, Bernd Michaelis, Ana de Lima and Thomas Voigt

Co-option and Irreducibility in Regulatory Networks for Cellular Pattern Development...432

Ranjitha Dhanasekaran, Gregory Podgorski and Nicholas Flann

Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes...439

Preetam Ghosh, Samik Ghosh, Kalyan Basu and Sajal Das

Mining, Analysis and Prediction of Non-Terminal Protein Acetylation Sites...447

Wyatt Clark, Aaron Buechlein, A. Keith Dunker and Predrag Radivojac

Channel Selection in EEG-based Prediction of Shoulder/Elbow Movement Intentions involving Stroke Patients: A Computational Approach...455

Jie Zhou and Sundeep Yedida

A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering...461

Pedro G. Ferreira, Candida G. Silva, Rui M. M. Brito and Paulo J. Azevedo

Integrating Drosophila Data to Discover Disease-Related Protein Interactions in Human...469

James Costello, Jade Buchanan-Carter, Mehmet Dalkilic and Justen Andrews

A Flexible Fully-Multiplicative Orthogonal-Group Based ICA Algorithm...476

Yalan Ye, Jing Wan, Zhi-Lin Zhang, Jia Chen and Lei Wu

The Difference of Bilateral Limbs Involvement During Trunk Bending and Reaching in Stroke Patients...480

Jen-Suh Chern, Saiwei Yang, Chi-Wen Long and Chen-Yu Lo

Color-Texture Segmentation of Medical Images Based on Local Contrast Information...488

Yuchou Chang, Dah-Jye Lee and Yong-Gang Wang

Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills...494

Matthias Dose, Christian Gruber, Ariane Grunz, Christian Hook and Juergen Kempf

Extracting Efficient Fuzzy If-Then Rules From Mass Spectra of Blood SamplesTo Early Diagnosis of Ovarian Cancer...502

Amin Assareh and Mohammad Hasan Moradi