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ORCIDPRIB 2007: Singapore
- Jagath C. Rajapakse, Bertil Schmidt, L. Gwenn Volkert:
Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings. Lecture Notes in Computer Science 4774, Springer 2007, ISBN 978-3-540-75285-1
Sequence Analysis
- Xu-Ning Tang, Zhichao Lian, Zhi-Li Pei, Yanchun Liang:
Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set. 1-10 - Yan Lin Aung, Douglas L. Maskell, Timothy F. Oliver, Bertil Schmidt
, William Bong:
C-Based Design Methodology for FPGA Implementation of ClustalW MSA. 11-18 - Maria Stepanova, Feng Lin, Valerie C.-L. Lin:
A Two-Phase ANN Method for Genome-Wide Detection of Hormone Response Elements. 19-29 - Casey S. Greene, Bill C. White, Jason H. Moore:
An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming. 30-40 - Pratibha Mehta Luthra, Sandeep Kumar Barodia, Amresh Prakash, Ramraghubir:
cDNA-Derived Amino Acid Sequence from Rat Brain A2aR Possesses Conserved Motifs PMNYM of TM 5 Domain, Which May Be Involved in Dimerization of A2aR. 41-50 - Xuegong Deng, Xuemei Deng, Ilkka Havukkala:
Strong GC and AT Skew Correlation in Chicken Genome. 51-59 - Caroline Pearson, Susan J. Simmons, Karl Ricanek, Edward L. Boone:
Comparative Analysis of a Hierarchical Bayesian Method for Quantitative Trait Loci Analysis for the Arabidopsis Thaliana. 60-70
Prediction of Protein Structure, Interaction and Localization
- Jianyu Shi, Shao-Wu Zhang, Quan Pan, Yanning Zhang:
Using Decision Templates to Predict Subcellular Localization of Protein. 71-83 - Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley:
Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction. 84-97 - Tongliang Zhang, Rong Wei, Yongsheng Ding:
Using Fuzzy Support Vector Machine Network to Predict Low Homology Protein Structural Classes. 98-107 - Siddharth Singh, Krishnan Hajela, Ashwini Kumar Ramani:
SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM. 108-119 - Yoshihiro Taguchi, M. Michael Gromiha:
Protein Fold Recognition Based Upon the Amino Acid Occurrence. 120-131 - Yu-Yen Ou, Shu-An Chen, Chung-Lu Shao, Hao-Geng Hung:
Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties. 132-141 - Shandar Ahmad:
Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network. 142-147 - M. Michael Gromiha:
Bioinformatics on beta-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction. 148-157 - Said Hassan Ahmed, Tor Flå:
Estimation of Evolutionary Average Hydrophobicity Profile from a Family of Protein Sequences. 158-165
Gene Expression Analysis
- Yuriy L. Orlov, Jiangtao Zhou, Joanne Chen, Atif Shahab, Vladimir A. Kuznetsov:
APMA Database for Affymetrix Target Sequences Mapping, Quality Assessment and Expression Data Mining. 166-177 - Ángela Blanco, Manuel Martín-Merino, Javier De Las Rivas:
Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification. 178-188 - Gregor Stiglic, Nawaz Khan, Mateja Verlic, Peter Kokol:
Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study. 189-197 - Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang:
Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. 198-205 - Kenneth McGarry, Mohammad Sarfraz, John MacIntyre:
Integrating Gene Expression Data from Microarrays Using the Self-Organising Map and the Gene Ontology. 206-217 - Li Teng, Laiwan Chan:
Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data. 218-229 - Kezhi Mao, Wenyin Tang:
Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection. 230-241 - Piyushkumar A. Mundra, Jagath C. Rajapakse:
SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. 242-252 - Merja Oja:
In Silico Expression Profiles of Human Endogenous Retroviruses. 253-263
Pathway Analysis
- Ramesh Ram, Madhu Chetty:
A Framework for Path Analysis in Gene Regulatory Networks. 264-273 - Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley, Ross L. Coppel, Kiah Mok Goh:
Transcriptional Gene Regulatory Network Reconstruction Through Cross Platform Gene Network Fusion. 274-285 - Maurice H. T. Ling, Christophe Lefèvre, Kevin R. Nicholas, Feng Lin:
Reconstruction of Protein-Protein Interaction Pathways by Mining Subject-Verb-Objects Intermediates. 286-299 - Iti Chaturvedi, Meena K. Sakharkar, Jagath C. Rajapakse:
Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation. 300-310
Medical Informatics
- Andrzej Zolnierek, Marek Kurzynski:
Rough Sets and Fuzzy Sets Theory Applied to the Sequential Medical Diagnosis. 311-322 - Deepak Perumal, Chu Sing Lim, Meena K. Sakharkar:
In silico Identification of Putative Drug Targets in Pseudomonas aeruginosa Through Metabolic Pathway Analysis. 323-336 - Liwen You, Ping Zhang, Mikael Bodén, Vladimir Brusic:
Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification. 337-348 - Menaka Rajapakse, Feng Lin:
Predicting Binding Peptides with Simultaneous Optimization of Entropy and Evolutionary Distance. 349-355
Bioimaging
- Alexandre Dufour, JooHyun Lee, Nicole Vincent, Regis Grailhe, Auguste Genovesio:
3D Automated Nuclear Morphometric Analysis Using Active Meshes. 356-367 - Arun Kumar, Jagath C. Rajapakse:
Time-Frequency Method Based Activation Detection in Functional MRI Time-Series. 368-377 - Omid Dehzangi, Mansoor Zolghadri Jahromi, Shahram Taheri:
High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface. 378-390 - Bo Zheng, Jagath C. Rajapakse:
Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling. 391-400 - Tianxia Gong, Ruizhe Liu, Chew Lim Tan, Neda Farzad, Cheng Kiang Lee, Boon Chuan Pang, Qi Tian, Suisheng Tang, Zhuo Zhang:
Classification of CT Brain Images of Head Trauma. 401-408
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