CIBCB 2005:
La Jolla,
CA,
USA
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2005, Embassy Suites Hotel La Jolla, La Jolla, CA, USA, November 14 & 15, 2005.
IEEE 2005, ISBN 0-7803-9388-0 
Microarray / Gene Expression Analysis
- Thorhildur Juliusdottir, David Corne, Ed Keedwell, Ajit Narayanan:
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets.
1-8
- E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization.
9-16
- Anupam Chakraborty, Hitashyam Maka:
Biclustering of Gene Expression Data Using Genetic Algorithm.
17-24
- Yuchun Tang, Yuanchen He, Yan-Qing Zhang, Zhen Huang, Xiaohua Hu, Rajshekhar Sunderraman:
A Hybrid CI-Based Knowledge Discovery System on Microarray Gene Expression Data.
25-30
RNA Sequence and Structure
Gene Regulatory Networks / Pathways
- Christian Spieth, Felix Streichert, Jochen Supper, Nora Speer, Andreas Zell:
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks.
61-67
- George Barreto Bezerra, Tiago V. Barra, Fernando J. Von Zuben, Leandro Nunes de Castro:
Handling Data Sparseness in Gene Network Reconstruction.
68-75
- Alireza Darvish, Kayvan Najarian, Dong Hyun Jeong, William Ribarsky:
System Identification and Nonlinear Factor Analysis for Discovery and Visualization of Dynamic Gene Regulatory Pathways.
76-81
- Chien-Feng Huang, Christian Forst, Madeline Tiee:
Pathway Optimization of Mycobacterium Tuberculosis Drug Response Networks.
82-89
- Jennifer Hallinan, Paul T. Jackway:
Network Motifs, Feedback Loops and the Dynamics of Genetic Regulatory Networks.
90-96
Phylogenetics and Small Molecules for Drug Design
- Clare Bates Congdon, Charles Fizer, Noah W. Smith, H. Rex Gaskins, Joseph C. Aman, Gerardo M. Nava, Carolyn J. Mattingly:
Preliminary Results for GAMI: A Genetic Algorithms Approach to Motif Inference.
97-104
- Xiaomeng Wu, Guohui Lin:
Selected String Representation for Whole Genomes.
105-112
- Razvan Andonie, Levente Fabry-Asztalos, Catharine Collar, Sarah Abdul-Wahid, Nicholas Salim:
Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors.
113-120
- Bo Jin, Yan-Qing Zhang, Binghe Wang:
Evolutionary Granular Kernel Trees and Applications in Drug Activity Comparisons.
121-126
- Tiffani Williams, Marc Smith:
Cooperative Rec-I-DCM3: A Population-Based Approach for Reconstructing Phylogenies.
127-134
General Topics
- Daniel Duanqing Wu, Xiaohua Hu:
An Efficient Approach to Detect a Protein Community from a Seed.
135-141
- Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell:
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering.
142-149
- Sven Siebert, Rolf Backofen:
A New Distance Measure of RNA Ensembles and Its Application to Phylogenetic Tree Construction.
150-157
- Toshiko Matsumoto, Ryo Nakashige:
Evaluating Robustness of Algorithm for Microsatellite Marker Genotyping.
158-164
- Noriyasu Homma, Koh Fuchigami, Madan M. Gupta:
Neural Spike Communication under Noisy Environments.
165-171
- Marta Szachniuk, Lukasz Popenda, Zofia Gdaniec, Ryszard W. Adamiak, Jacek Blazewicz:
NMR Analysis of RNA Bulged structures: Tabu Search Application in NOE Signal Assignment.
172-178
- Eleazar Eskin, Sagi Snir:
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space.
179-186
- Jakkarin Suksawatchon, Chidchanok Lursinsap, Mikael Bodén:
Heuristic Algorithm for Computing Reversal Distance with MultiGene Families via Binary Integer Programming.
187-193
- Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel:
Segment and Combine Approach for Biological Sequence Classification.
194-201
- Valmik Desai, Purvesh Khatri, Arina Done, Aviva Friedman, Michael A. Tainsky, Sorin Draghici:
A Novel Bioinformatics Technique for Predicting Condition-specific Transcription Factor Binding Sites.
202-207
- Young Bun Kim, Jean Gao:
A New Semi-Supervised Subspace Clustering Algorithm on Fitting Mixture Models.
208-215
- Anthony Almudevar, Peter Salzman:
Using a Bayesian Posterior Density in the Design of Perturbation Experiments.
216-222
- Ilias Tagkopoulos:
A Transcriptional Approach to Gene Clustering.
223-229
- Abdullah Arslan:
Multiple Sequence Alignment Containing a Sequence of Regular Expressions.
230-236
- Daniel A. Ashlock, Ruth Swanson, Patrick S. Schnable:
Selection of Genetically Diverse Recombinant Inbreds with an Ordered Gene Evolutionary Algorithm.
237-242
- Luca Pireddu, Brett Poulin, Duane Szafron, Paul Lu, David S. Wishart:
Pathway Analyst--Automated Metabolic Pathway Prediction.
243-250
- Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran:
An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification.
251-256
- Scott F. Smith:
Truncated Profile Hidden Markov Models.
257-261
- Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, Tamotsu Noguchi:
Feature Selection Based on Physicochemical Properties of Redefined N-term Region and C-term Regions for Predicting Disorder.
262-267
- Huilin Xiong, Xue-wen Chen:
Optimized Kernel Machine for Cancer Classification Using Gene Expression Data.
268-274
- Leif E. Peterson, Mustafa Ozen, Halime Erdem, Andrew Amini, Lori Gomez, Colleen C. Nelson, Michael Ittmann:
Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence.
275-282
- Carla Lopes, Erik Schüler, Paulo Engel, Altamiro Amadeu Susin:
ERP signal identification of Individuals at Risk for Alcoholism using Learning Vector Quantization Network.
283-287
- Yang Yang, Bao-Liang Lu:
Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization.
288-295
- Kok-Sin Toh, Minh Ngoc Nguyen, Jagath C. Rajapakse:
LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction.
296-302
- Yi-Yuan Chiu, Jenn-Kang Hwang, Jinn-Moon Yang:
GEMSCORE: A New Empirical Energy Function for Protein Folding.
303-310
- Yunlong Liu, Hiroki Yokota:
Modeling Transcriptional Regulation in Chondrogenesis Using Particle Swarm Optimization.
311-317
- Jiankuan Ye, Casimir A. Kulikowski, Ilya B. Muchnik:
Protein-Protein Interaction Prediction Based on Sequence Data by Support Vector Machine with Probability Assignment.
318-324
- Jochen Supper, Christian Spieth, Andreas Zell:
Reverse Engineering Non-Linear Gene Regulatory Networks Based on the Bacteriophage lambda cI Circuit.
325-332
- Supoj Hengpraprohm, Prabhas Chongstitvatana:
Diffuse Large B-cell Lymphoma Classification Using Genetic Programming Classifier.
333-338
- Jung Hun Oh, Jean Gao, Animesh Nandi, Prem Gurnani, Lynne Knowles, John Schorge, Kevin P. Rosenblatt:
Multicategory Classification using Extended SVM-RFE and Markov Blanket on SELDITOF Mass Spectrometry Data.
339-345
- Xiaoxu Han:
A Machine Leaning Approach to Resolving Incongruence in Molecular Phylogenies and Visualization Analysis.
346-353
- Roman Eisner, Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner:
Improving Protein Function Prediction Using the Hierarchical Structure of the Gene Ontology.
354-363
- Vasileios Megalooikonomou, Despina Kontos, Nicholas DeClaris, Pedro Cano:
Utilizing Domain Knowledge in Developing Robust Neural Network Models for Peptide-Allele Binding Prediction.
364-371
- Yijuan Lu, Qi Tian, Maribel Sanchez, Yufeng Wang:
Hybrid PCA and LDA Analysis of Microarray Gene Expression Data.
372-377
Mass Spectroscopy
- Habtom W. Ressom, Rency S. Varghese, Eduard Orvisky, Steven K. Drake, Glen L. Hortin, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman:
Analysis of MALDI-TOF Serum Profiles for Biomarker Selection and Sample Classification.
378-384
- Elena Marchiori, Niels H. H. Heegaard, Connie R. Jimenez, Mikkel West-Nielsen:
Feature Selection for Classification with Proteomic Data of Mixed Quality.
385-391
- David Schaffer, Angel Janevski, Mark Simpson:
A Genetic Algorithm Approach for Discovering Diagnostic Patterns in Molecular Measurement Data.
392-399
- Joseph Kolibal, Daniel Howard:
Novel Algorithm for MALDI-TOF Baseline Drift Removal.
400-405
Sequence Analysis
Medical Informatics
- Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, Masaru Tanaka, Koichi Ogawa:
An Internet-based Melanoma Diagnostic System - Toward the Practical Application.
443-446
- Nicolaos B. Karayiannis, Yaohua Xiong:
Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in the Recognition of Videotaped Neonatal Seizures.
447-454
- Lee Lancashire, Selma Ugurel, Colin Creaser, Dirk Schadendorf, Robert C. Rees, Graham R. Ball:
Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma.
455-460
- Christian Spieth, Felix Streichert, Nora Speer, Christian Sinzger, Kathrin Eberhard, Andreas Zell:
Predicting Single Genes Related to Immune-Relevant Processes.
461-468
Protein Structure Analysis I
Protein Structure Analysis II
- Uros Midic, A. Keith Dunker, Zoran Obradovic:
Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments.
490-497
- Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman:
An Architecture Combining Bayesian segmentation and Neural Network Ensembles for Protein Secondary Structure Prediction.
498-505
- Lutz Hamel, Gongqin Sun, Jing Zhang:
Toward Protein Structure Analysis with Self-Organizing Maps.
506-513
- Denis C. Bauer, Mikael Bodén, Ricarda Thier, Zheng Yuan:
Predicting Structural Disruption of Proteins Caused by Crossover (based on Amino Acid Sequence).
514-520
- Larry Huang, Wen-Lin Huang, Shinn-Ying Ho, Shiow-Fen Hwang:
Interpretable Prediction of Protein Stability Changes upon Mutation by Using Decision Tree.
521-525
- Peng Wai Meng, Jagath C. Rajapakse:
Multi-class Protein Subcellular Localization Classification Using Support Vector Machines.
526-
Last update Thu May 24 02:41:50 2012
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
