IEEE CIBCB 2006 Program

CIBCB 2006 Program

Plenary Talk PL1: Genome-Wide Genetic Analysis using Computational Intelligence:The Importance of Expert Knowledge

Thursday, September 28, 9:00AM-10:00AM, Room: Northern Lights Ballroom, Speaker: Dan Ashlock

Session A: Protein-Protein Interaction

Thursday, September 28, 10:20AM-12:00PM, Room: Northern Lights Ballroom, Chair: Jagath Rajapakse

10:20AM   Predicting Protein-Protein Interface using Desolvation Energy Similarity Matching [#1043]
Yasir Arafat, Gour Karmakar, Joarder Kamruzzaman and Juan Fernandez-Recio
FIT, Monash University, Australia; Institute of Biomedical Research, IRB-PCB, Spain
10:40AM   A Hidden Markov Model Approach to Identifying HTH Motifs Using Protein Sequence and Predicted Solvent Accessibility [#1046]
Changhui Yan and Jing Hu
Utah State University, United States
11:00AM   A method to integrate, assess and characterize the protein-protein interactions [#1051]
Fa Zhang, Lin Xu, Jingchun Chen, Liu Zhiyong and Bo Yuan
The Institute of Computing Technology, China; The Ohio State University, United States; National Natural Science Foundation of China, China
11:20AM   Fuzzy C-means for inferring functional coupling of proteins from their phylogenetic profiles [#1118]
Juan Carlos Fernandez, Edgar E. Vallejo and Enrique Morett
ITESM Campus Estado de Mexico, Mexico; Instituto de Biotecnologia UNAM, Mexico
11:40AM   Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas [#1042]
Minh Nguyen and Jagath Rajapakse
Nanyang Technological University, Singapore

Session B: Cancer and Disease Informatics

Thursday, September 28, 1:30PM-3:10PM, Room: Northern Lights Ballroom, Chair: Hu Pingahao

1:30PM   Classification of Relapse Ovarian Cancer on MALDI-TOF Mass Spectrometry Data [#1087]
Jung Hun Oh, Animesh Nandi, Prem Gurnani, Lynne Knowles and John Schorge
The University of Texas at Arlington, United States; UT Southwestern Medical Center, United States
1:50PM   A Swarm Intelligence Based Algorithm for Proteomic Pattern Detection of Ovarian Cancer [#1050]
Yan Meng
Stevens Institute of Technology, United States
2:10PM   Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses [#1032]
Boris Mirkin, Renata Camargo, Trevor Fenner, George Loizou and Paul Kellam
Birkbeck University of London, United Kingdom; University College of London, United Kingdom
2:30PM   Feature Selection Approach for Quantitative Prediction of Transcriptional Activities [#1104]
Ashish Anand, Gary Fogel, Ke Tang and Ponnuthurai Nagaratnam Suganthan
Nanyang Technological University, Singapore; Natural Selection Inc., La Jolla, CA, United States
2:50PM   Integrating Affymetrix microarray data sets using probe-level test statistic for predicting prostate cancer [#1023]
Pingzhao Hu, Celia Greenwood and Joseph Beyene
The Hospital for Sick Children, Canada; University of Toronto, Canada

CIBCB Poster Session

Thursday, September 28, 4:00PM-6:00PM, Room: Northern Lights Ballroom, Chair: Dan Ashlock

   A Fuzzy Kohonen SOM Implementation and Clustering of Bio-active Compound Structures for Drug Discovery [#1069]
    Jehan Zeb Shah and Naomie bt Salim
    FSKSM, Universiti Teknologi Malaysia, Malaysia
   Optimization of the Sliding Window Size for Protein Structure Prediction [#1028]
    Ke Chen, Lukasz Kurgan and Jishou Ruan
    University of Alberta, Canada; Nankai University, China
   Iris Recognition Algorithm Optimized for Hardware Implementation [#1039]
    Kamil Grabowski, Wojciech Sankowski, Malgorzata Napieralska, Mariusz Zubert and Andrzej Napieralski
    Technical University of Lodz, DMCS, Poland
   Using Artificial Neural Networks to Predict Claim Duration in a Work Injury Compensation Environment [#1061]
    Anthony Almudevar
    University of Rochester, United States
   A Systematic Computational Approach for Transcription Factor Target Gene Prediction [#1090]
    Ji He, Xinbin Dai and Xuechun Zhao
    Samuel Roberts Noble Foundation, United States
   A Stochastic model to estimate the time taken for Protein-Ligand Docking [#1106]
    Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal Das and Simon Daefler
    Student, University of Texas at Arlington, United States; Professor, University of Texas at Arlington, United States; Professor, Mount Sinai School of Medicine, United States
   Inferring functional coupling of proteins using the Evolutionary Bond Energy Algorithm [#1108]
    Ryosuke Watanabe, Edgar E. Vallejo and Enrique Morett
    ITESM Campus Estado de Mexico, Mexico; IBT Universidad Nacional Autonoma de Mexico, Mexico
   A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction [#1017]
    Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goebel and Lin Guohui
    University of Alberta, Canada; University of New Orleans, United States; Chinese Academy of Sciences, China
   A Systematic Statistical Process for Microarray Data Analysis: Countering the Limitations in the Public Data Sets [#1045]
    Jarukit Lertbantanawong and Jonathan Chan
    Department of Mathematics, Assumption University, Thailand; Sch. of IT, King Mongkut's Univ of Tech Thonburi, Thailand
   E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags [#1035]
    Guo-Hsing Lee, Nai-Yu Chuang, Wen-Dar Lin, Hahn-Ming Lee and Chung-Der Hsiao
    Academia Sinica, Taiwan; National Taiwan University of Sci. and Tech., Taiwan
   Gene Ontology Driven Feature Selection from Microarray Gene Expression Data [#1078]
    Jianlong Qi and Jian Tang
    Memorial University of Newfoundland, Canada
   Inference of Gene Regulatory Networks from Time Course Gene Expression Data Using Neural Networks and Swarm Intelligence [#1074]
    Habtom Ressom, Yuji Zhang, Jianhua Xuan, Yue Wang and Robert Clarke
    Georgetown University, United States; Virginia Tech, United States
   The Image Registration of TME Biomedical Images in variant Creutzfeldt-Jakob Diseases [#1031]
    Mariusz Zubert, Napieralska Malgorzata, Napieralski Andrzej and Sikorska Beata
    Technical University of Lodz, DMCS, Poland; Medical University of Lodz,Dep.ofMolecularBiol.., Poland
   A Fast Algorithm for Detecting Frame Shifts in DNA sequences [#1071]
    Hassan Masoom, Suprakash Datta, Amir Asif, Lesley Cunningham and Gillian Wu
    York University, Toronto., Canada; York University, Toronto, Canada
   Prediction of the Number of Helices for the Twilight Zone Proteins [#1026]
    Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor and Lukasz Kurgan
    University of Alberta, Canada
   SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction [#1099]
    Herbert H. Tsang and Kay C. Wiese
    Simon Fraser University, Canada
   Developing Antibiotic Regimens Using Evolutionary Algorithms [#1101]
    Steven Corns, Scott Hurd, Daniel Ashlock and Mark Bryden
    Iowa State University, United States; University of Guelph, Canada
   A Novel Graphical Model Approach to Segmenting Cell Images [#1079]
    Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon and Robert F. Murphy
    Dept. of Biomedical Eng., Carnegie Mellon Univ., United States; Dept. of Machine Learning, Carnegie Mellon Univ., United States
   G Protein-Coupled Receptor Classification at the Subfamily Level with Probabilistic Suffix Tree [#1110]
    Jingyi Yang and Jitender Deogun
    CSE Department, University of Nebraska-lincoln, United States

Special Lecture: Banquet, Sylvia Spengler

Thursday, September 28, 7:00PM-9:00PM, Room: Northern Lights Ballroom, Speaker: Dan Ashlock

Session C: Protein Folding

Friday, September 29, 8:30AM-10:10AM, Room: Northern Lights Ballroom, Chair: Candida G. Silva

8:30AM   Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm [#1008]
Md Tamjidul Hoque, Madhu Chetty and Laurence S Dooley
MONASH UNIVERSITY, Australia
8:50AM   Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction [#1029]
Niranjan Bidargaddi, Madhu Chetty and Joarder Kamruzzaman
student member IEEE CIS, Australia; senior member IEEE, Australia; member IEEE, Australia
9:10AM   A Differential Evolution Approach for Protein Folding [#1077]
Reginaldo Bitello and Heitor Lopes
BIOINFO / UTFPR, Brazil
9:30AM   Identification of non Random Motifs in Loops Using a Structural Alphabet [#1092]
Leslie Regad, Juliette Martin and Anne-Claude Camproux
EBGM INSERM U726 Universite Paris 7, France; EBGM INSERM U726/ INRA MIG, France
9:50AM   P-found: The Protein Folding and Unfolding Simulation Repository [#1096]
Candida G. Silva, Vitaliy Ostropytskyy, Nuno Loureiro-Ferreira, Martin Swain, Daniel Berrar, Werner Dubitzky and Rui M. M. Brito
University of Coimbra, Portugal; University of Ulster, United Kingdom

Session D: Gene Networks

Friday, September 29, 8:30AM-10:10AM, Room: Aurora Room, Chair: Jennifer Hallinan

8:30AM   A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood [#1116]
Simon Knott, Parvin Mousavi and Sergio Baranzini
Queen's University, Canada; University of California, San Francisco, United States
8:50AM   A New Approach to Identify Functional Modules Using Random Matrix Theory [#1027]
Mengxia Zhu, Qishi Wu, Yunfeng Yang and Jizhong Zhou
Southern Illinois University, United States; University of Memphis, United States; Oak Ridge National Laboratory, United States; University of Oklahoma, United States
9:10AM   A Fuzzy Data Mining Technique for the Reconstruction of Gene Regulatory Networks from Time Series Expression Data [#1102]
Patrick C.H. Ma and Keith C.C. Chan
The Hong Kong Polytechnic University, Hong Kong
9:30AM   Causal Modeling of Gene Regulatory Network [#1103]
Ramesh Ram, Madhu Chetty and Trevor Dix
Gippsland School of IT, Monash University, Australia; Clayton School of IT, Monash University, Australia
9:50AM   Clustering and Cross-talk in a Yeast Functional Interaction Network [#1113]
Jennifer Hallinan and Anil Wipat
Newcastle University, United Kingdom, United Kingdom

Session E: Feature Selection

Friday, September 29, 10:40AM-12:20PM, Room: Northern Lights Ballroom, Chair: Stefan C. Kremer

10:40AM   Visualization of Support Vector Machines with Unsupervised Learning [#1009]
Lutz Hamel
University of Rhode Island, United States
11:00AM   Data Visualization with Simultaneous Feature Selection [#1075]
Dharmesh Maniyar and Ian Nabney
Aston University, United Kingdom
11:20AM   Biomarker Identification and Rule Extraction from Mass Spectral Serum Profiles [#1073]
Habtom Ressom, Rency Varghese, Edward Orvisky, Steven Drake and Glen Hortin
Georgetown University, United States; NIH, United States
11:40AM   Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types [#1117]
David Reif, Alison Motsinger, Brett McKinney, James Crowe, Jr. and Jason Moore
Vanderbilt University, United States; Dartmouth Medical School, United States
12:00PM   Detecting Similarities between Families of Bio-Sequences Using the Steady-State of a PCA Neural Network [#1085]
Mosaab Daoud and Stefan C. Kremer
Dept. of CIS, University of Guelph, Canada

Session F: Biosequence Analysis and Biochemical Modeling

Friday, September 29, 10:40AM-12:20PM, Room: Aurora Room, Chair: Cindy Y. Li

10:40AM   Motif Evaluation Using Leave-One-Out Scoring [#1025]
Audrey Girouard, Noah Smith and Donna Slonim
Tufts University, United States
11:00AM   A profile-based protein sequence alignment algorithm for a domain clustering database [#1052]
Xu Lin, Zhang Fa and Liu Zhiyong
The Institute of Computing Technology, China; the Institute of Computing Technology, China; National Natural Science Foundation of China, China
11:20AM   A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction [#1053]
Wen-Yun Yang, Bao-Liang Lu and Yang Yang
Shanghai Jiao Tong University, China
11:40AM   Machine Learning in Basecalling - Decoding trace peak behaviour [#1093]
David Thornley and Stavros Petridis
Imperial College London, United Kingdom
12:00PM   A Random Walk Modelling Approach for Passive Metabolic Pathways in Gram-Negative Bacteria [#1072]
Amin Mazloom, Kalyan Basu and Sajal Das
Ph.D. student, United States; Professor, United States

Session G: Microarray Analysis

Friday, September 29, 2:00PM-3:20PM, Room: Northern Lights Ballroom, Chair: Dan Ashlock

2:00PM   Bicluster Analysis of Genome-Wide Gene Expression [#1018]
Kuanchung Chen and Yuh-Jyh Hu
National Chiao Tung University, Taiwan
2:20PM   Bottom-Up Biclustering of Expression Data [#1022]
Kenneth Bryan and Padraig Cunningham
Trinity College Dublin, Ireland
2:40PM   A New Hybrid Approach for Unsupervised Gene Selection [#1088]
Young Bun Kim and Jean Gao
The University of Texas at Arlington, United States
3:00PM   Efficient Probe Selection in Microarray Design [#1091]
Leszek Gasieniec, Cindy Y. Li, Paul Sant and Prudence W.H. Wong
The University of Liverpool, United Kingdom; University of Luton, United Kingdom

Session H: Biological Theory

Friday, September 29, 2:00PM-3:00PM, Room: Aurora Room, Chair: Dan Ashlock

2:00PM   Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology [#1068]
Alison Motsinger, David Reif, Scott Dudek and Marylyn Ritchie
Vanderbilt University, United States
2:20PM   An Exploration of Differential Utility in Iterated Prisoner's Dilemma [#1097]
Dan Ashlock, Wendy Ashlock and Gary Umphrey
University of Guelph, Canada
2:40PM   An Evolutionary Algorithm for the Selection of Geographically Informative Species [#1066]
Daniel Ashlock, Karl Cottenie, Lindsey Carson, Kenneth Bryden and Steven Corns
University of Guelph, Canada; Iowa State University, United States

Session I: Medical Informatics

Friday, September 29, 3:40PM-5:20PM, Room: Northern Lights Ballroom, Chair: Nelli Martchenko-Shimko

3:40PM   PSpice Simulation of Cardiac Impulse Propagation: studying the mechanisms of action potential propagation [#1012]
Somayeh Mahdavi, Shahriar Gharibzadeh, Mostafa Rezaei-Tavirani, Farzad Towhidkhah and Soheil Shafiee
Khatam university, Iran; Amirkabir University of Technology, Iran; Ilam Medical Sciences University - Asre novin, Iran
4:00PM   Clinical Characterization of Electromyographic Data Using Computational Tools [#1016]
Andrew Hamilton-Wright and Daniel Stashuk
University of Guelph, Canada; University of Waterloo, Canada
4:20PM   Bootstrap Inference with Neural-Network Modeling for Gene-Disease Association Testing [#1041]
Nelli Martchenko-Shimko and Marie-Pierre Dube
Montreal Heart Institute, Canada; Universite de Montreal, Montreal Heart Institute, Canada
4:40PM   Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease [#1119]
Topon Paul and Hitoshi Iba
The University of Tokyo, Japan
5:00PM   A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis [#1033]
Sara Mostafavi, Sergio Baranzini, Jorge Oksenberg and Parvin Mousavi
Queen's University, Canada; University of California, San Francisco, United States

Session J: RNA Structure and Function

Friday, September 29, 3:40PM-5:20PM, Room: Aurora Room, Chair: Dan Ashlock

3:40PM   Covariance Searches for ncRNA Gene Finding [#1007]
Scott Smith
Boise State University, United States
4:00PM   A Bayesian approach to pairwise RNA Secondary Structure Alignment [#1105]
Zhuozhi Wang and Ellizabeth Tillier
University Health Network, Canada; University of Toronto, Canada
4:20PM   Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs [#1095]
Jianmin Ma, Ngoc Minh Nguyen, Gary Fogel and Jagath Rajapakse
Nanyang Technological University, Singapore; Natural Selection, Inc., United States
4:40PM   Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding [#1100]
Kay C. Wiese, Andrew Hendriks and Alain Deschenes
Simon Fraser University, Canada; Chemical Computing Group, Inc., Canada
5:00PM   Filtration and Depth Annotation Improve Non-linear Projection for RNA Motif Discovery [#1112]
Justin Schonfeld and Daniel Ashlock
Iowa State University, United States; University of Guelph, Canada