Abstract is missing.
- Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray DatasetsThorhildur Juliusdottir, David Corne, Ed Keedwell, Ajit Narayanan. 1-8
- Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm OptimizationE. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao. 9-16
- Biclustering of Gene Expression Data Using Genetic AlgorithmAnupam Chakraborty, Hitashyam Maka. 17-24
- A Hybrid CI-Based Knowledge Discovery System on Microarray Gene Expression DataYuchun Tang, Yuanchen He, Yan-Qing Zhang, Zhen Huang, Xiaohua Hu, Rajshekhar Sunderraman. 25-30
- Identification of Functional RNA Genes Using Evolved Neural NetworksMars Cheung, Gary B. Fogel. 31-37
- Depth Annotation of RNA Folds for Secondary Structure Motif SearchDaniel A. Ashlock, Justin Schonfeld. 38-45
- A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based FeaturesSung-Kyu Kim, Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang. 46-52
- A Novel Variation Operator for More Rapid Evolution of DNA Error Correcting CodesDaniel A. Ashlock, Sheridan K. Houghten. 53-60
- Feedback Memetic Algorithms for Modeling Gene Regulatory NetworksChristian Spieth, Felix Streichert, Jochen Supper, Nora Speer, Andreas Zell. 61-67
- Handling Data Sparseness in Gene Network ReconstructionGeorge Barreto Bezerra, Tiago V. Barra, Fernando J. Von Zuben, Leandro Nunes de Castro. 68-75
- System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory PathwaysAlireza Darvish, Kayvan Najarian, Dong Hyun Jeong, William Ribarsky. 76-81
- Pathway Optimization of Mycobacterium Tuberculosis Drug Response NetworksChien-Feng Huang, Christian Forst, Madeline Tiee. 82-89
- Network Motifs, Feedback Loops and the Dynamics of Genetic Regulatory NetworksJennifer Hallinan, Paul T. Jackway. 90-96
- Preliminary Results for GAMI: A Genetic Algorithms Approach to Motif InferenceClare Bates Congdon, Charles Fizer, Noah W. Smith, H. Rex Gaskins, Joseph C. Aman, Gerardo M. Nava, Carolyn J. Mattingly. 97-104
- Selected String Representation for Whole GenomesXiaomeng Wu, Guohui Lin. 105-112
- Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease InhibitorsRazvan Andonie, Levente Fabry-Asztalos, Catharine Collar, Sarah Abdul-Wahid, Nicholas Salim. 113-120
- Evolutionary Granular Kernel Trees and Applications in Drug Activity ComparisonsBo Jin, Yan-Qing Zhang, Binghe Wang. 121-126
- Cooperative Rec-I-DCM3: A Population-Based Approach for Reconstructing PhylogeniesTiffani Williams, Marc Smith. 127-134
- An Efficient Approach to Detect a Protein Community from a SeedDaniel Duanqing Wu, Xiaohua Hu. 135-141
- Functional Distances for Genes Based on GO Feature Maps and their Application to ClusteringNora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell. 142-149
- A New Distance Measure of RNA Ensembles and Its Application to Phylogenetic Tree ConstructionSven Siebert, Rolf Backofen. 150-157
- Evaluating Robustness of Algorithm for Microsatellite Marker GenotypingToshiko Matsumoto, Ryo Nakashige. 158-164
- Neural Spike Communication under Noisy EnvironmentsNoriyasu Homma, Koh Fuchigami, Madan M. Gupta. 165-171
- NMR Analysis of RNA Bulged structures: Tabu Search Application in NOE Signal AssignmentMarta Szachniuk, Lukasz Popenda, Zofia Gdaniec, Ryszard W. Adamiak, Jacek Blazewicz. 172-178
- The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean SpaceEleazar Eskin, Sagi Snir. 179-186
- Heuristic Algorithm for Computing Reversal Distance with MultiGene Families via Binary Integer ProgrammingJakkarin Suksawatchon, Chidchanok Lursinsap, Mikael Bodén. 187-193
- Segment and Combine Approach for Biological Sequence ClassificationPierre Geurts, Antia Blanco Cuesta, Louis Wehenkel. 194-201
- A Novel Bioinformatics Technique for Predicting Condition-specific Transcription Factor Binding SitesValmik Desai, Purvesh Khatri, Arina Done, Aviva Friedman, Michael A. Tainsky, Sorin Draghici. 202-207
- A New Semi-Supervised Subspace Clustering Algorithm on Fitting Mixture ModelsYoung Bun Kim, Jean Gao. 208-215
- Using a Bayesian Posterior Density in the Design of Perturbation ExperimentsAnthony Almudevar, Peter Salzman. 216-222
- A Transcriptional Approach to Gene ClusteringIlias Tagkopoulos. 223-229
- Multiple Sequence Alignment Containing a Sequence of Regular ExpressionsAbdullah Arslan. 230-236
- Selection of Genetically Diverse Recombinant Inbreds with an Ordered Gene Evolutionary AlgorithmDaniel A. Ashlock, Ruth Swanson, Patrick S. Schnable. 237-242
- Pathway Analyst--Automated Metabolic Pathway PredictionLuca Pireddu, Brett Poulin, Duane Szafron, Paul Lu, David S. Wishart. 243-250
- An Efficient Sequential RBF Network for Gene Expression-Based Multi-category ClassificationRunxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran. 251-256
- Truncated Profile Hidden Markov ModelsScott F. Smith 0002. 257-261
- Feature Selection Based on Physicochemical Properties of Redefined N-term Region and C-term Regions for Predicting DisorderKana Shimizu, Yoichi Muraoka, Shuichi Hirose, Tamotsu Noguchi. 262-267
- Optimized Kernel Machine for Cancer Classification Using Gene Expression DataHuilin Xiong, Xue-wen Chen. 268-274
- Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer RecurrenceLeif E. Peterson, Mustafa Ozen, Halime Erdem, Andrew Amini, Lori Gomez, Colleen C. Nelson, Michael Ittmann. 275-282
- ERP signal identification of Individuals at Risk for Alcoholism using Learning Vector Quantization NetworkCarla Lopes, Erik Schüler, Paulo Engel, Altamiro Amadeu Susin. 283-287
- Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular LocalizationYang Yang, Bao-Liang Lu. 288-295
- LVQ Approach Using AA Indices for Protein Subcellular Localisation PredictionKok-Sin Toh, Minh Ngoc Nguyen 0002, Jagath C. Rajapakse. 296-302
- GEMSCORE: A New Empirical Energy Function for Protein FoldingYi-Yuan Chiu, Jenn-Kang Hwang, Jinn-Moon Yang. 303-310
- Modeling Transcriptional Regulation in Chondrogenesis Using Particle Swarm OptimizationYunlong Liu, Hiroki Yokota. 311-317
- Protein-Protein Interaction Prediction Based on Sequence Data by Support Vector Machine with Probability AssignmentJiankuan Ye, Casimir A. Kulikowski, Ilya B. Muchnik. 318-324
- Reverse Engineering Non-Linear Gene Regulatory Networks Based on the Bacteriophage lambda cI CircuitJochen Supper, Christian Spieth, Andreas Zell. 325-332
- Diffuse Large B-cell Lymphoma Classification Using Genetic Programming ClassifierSupoj Hengpraprohm, Prabhas Chongstitvatana. 333-338
- Multicategory Classification using Extended SVM-RFE and Markov Blanket on SELDITOF Mass Spectrometry DataJung Hun Oh, Jean Gao, Animesh Nandi, Prem Gurnani, Lynne Knowles, John Schorge, Kevin P. Rosenblatt. 339-345
- A Machine Leaning Approach to Resolving Incongruence in Molecular Phylogenies and Visualization AnalysisXiaoxu Han. 346-353
- Improving Protein Function Prediction Using the Hierarchical Structure of the Gene OntologyRoman Eisner, Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner. 354-363
- Utilizing Domain Knowledge in Developing Robust Neural Network Models for Peptide-Allele Binding PredictionVasileios Megalooikonomou, Despina Kontos, Nicholas DeClaris, Pedro Cano. 364-371
- Hybrid PCA and LDA Analysis of Microarray Gene Expression DataYijuan Lu, Qi Tian, Maribel Sanchez, Yufeng Wang. 372-377
- Analysis of MALDI-TOF Serum Profiles for Biomarker Selection and Sample ClassificationHabtom W. Ressom, Rency S. Varghese, Eduard Orvisky, Steven K. Drake, Glen L. Hortin, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman. 378-384
- Feature Selection for Classification with Proteomic Data of Mixed QualityElena Marchiori, Niels H. H. Heegaard, Connie R. Jimenez, Mikkel West-Nielsen. 385-391
- A Genetic Algorithm Approach for Discovering Diagnostic Patterns in Molecular Measurement DataDavid Schaffer, Angel Janevski, Mark Simpson. 392-399
- Novel Algorithm for MALDI-TOF Baseline Drift RemovalJoseph Kolibal, Daniel Howard. 400-405
- Biological Sequence Prediction using General Fuzzy AutomataMansoor Doostfatemeh, Stefan C. Kremer. 406-413
- Robust Algorithm for Finding Weak MotifsXiao Yang, Jagath C. Rajapakse. 414-419
- Hypermotifs: Novel Discriminatory Patterns for Nucleotide Sequences and their Application to Core Promoter Prediction in EukaryotesCarey Pridgeon, David Corne. 420-426
- Fuzzy Profile Hidden Markov Models for Protein Sequence AnalysisNiranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman. 427-434
- Gene Classification Using Codon Usage Patterns and SVMsJianmin Ma, Minh Ngoc Nguyen 0002, Gavyn Pang, Jagath C. Rajapakse. 435-442
- An Internet-based Melanoma Diagnostic System - Toward the Practical ApplicationHitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, Masaru Tanaka, Koichi Ogawa. 443-446
- Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in the Recognition of Videotaped Neonatal SeizuresNicolaos B. Karayiannis, YaoHua Xiong. 447-454
- Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in MelanomaLee Lancashire, Selma Ugurel, Colin Creaser, Dirk Schadendorf, Robert C. Rees, Graham R. Ball. 455-460
- Predicting Single Genes Related to Immune-Relevant ProcessesChristian Spieth, Felix Streichert, Nora Speer, Christian Sinzger, Kathrin Eberhard, Andreas Zell. 461-468
- Predicting Peroxisomal ProteinsJohn Hawkins, Mikael Bodén. 469-474
- Intrinsic Disorder and Protein modifications: Building an SVM Predictor for MethylationKenneth Daily, Predrag Radivojac, A. Keith Dunker. 475-481
- A Neural Network for Predicting Protein Disorder using Amino Acid Hydropathy ValuesDeborah Stoffer, L. Gwenn Volkert. 482-489
- Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure SegmentsUros Midic, A. Keith Dunker, Zoran Obradovic. 490-497
- An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure PredictionNiranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman. 498-505
- Toward Protein Structure Analysis with Self-Organizing MapsLutz Hamel, Gongqin Sun, Jing Zhang. 506-513
- Predicting Structural Disruption of Proteins Caused by Crossover (based on Amino Acid Sequence)Denis C. Bauer, Mikael Bodén, Ricarda Thier, Zheng Yuan. 514-520
- Interpretable Prediction of Protein Stability Changes upon Mutation by Using Decision TreeLarry Huang, Wen-Lin Huang, Shinn-Ying Ho, Shiow-Fen Hwang. 521-525
- Multi-class Protein Subcellular Localization Classification Using Support Vector MachinesPeng Wai Meng, Jagath C. Rajapakse. 526