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ORCIDCIBCB 2004: La Jolla, CA, USA
- Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2004, La Jolla, CA, USA, October 7-8, 2004. IEEE 2004, ISBN 0-7803-8728-7
- David B. Fogel:
Preface to the proceedings. - Jennifer Hallinan:
Cluster analysis of the p53 genetic regulatory network: topology and biology. 1-8 - Ajit Narayanan, Evangelia Nana, Ed Keedwell:
Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks. 9-16 - L. Gwenn Volkert, Nawar Malhis:
An efficient method for fuzzy identification of regulatory events in gene expression time series data. 17-24 - Haiying Wang, Francisco Azuaje, Olivier Bodenreider, Joaquín Dopazo:
Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships. 25-31 - Carey Pridgeon, David Corne:
Genetic network reverse-engineering and network size; can we identify large GRNs? 32-36 - Huseyin Seker:
A multifuzzy filtering approach to reliable gene expression profile analysis. 37-40 - Kees Jong, Elena Marchiori, Michèle Sebag, Aad van der Vaart:
Feature selection in proteomic pattern data with support vector machines. 41-48 - Kaibo Duan, Jagath C. Rajapakse:
A variant of SVM-RFE for gene selection in cancer classification with expression data. 49-55 - David A. Peterson, Michael H. Thaut:
Model and feature selection in microarray classification. 56-60 - Stanley Y. M. Shi, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
Multiclass protein fold recognition using multiobjective evolutionary algorithms. 61-66 - Minh Ngoc Nguyen, Jagath C. Rajapakse:
Two-stage support vector machines to protein relative solvent accessibility prediction. 67-72 - Yuchun Tang, Bo Jin, Yi Sun, Yan-Qing Zhang:
Granular support vector machines for medical binary classification problems. 73-78 - Kathleen M. Kaplan, John J. Kaplan:
Multiple DNA sequence approximate matching. 79-86 - Jonathan Y. Clark:
Identification of botanical specimens using artificial neural networks. 87-94 - Merja Oja, Göran O. Sperber, Jonas Blomberg, Samuel Kaski:
Grouping and visualizing human endogenous retroviruses by bootstrapping median self-organizing maps. 95-101 - Gavyn Pang, Jagath C. Rajapakse:
Inferring neutral evolution from Parkinson's disease genes. 102-107 - Wang Long-Hui, Liu Juan, Zhou Huai-Bei, Shi Feng:
A new distance metric and its application in phylogenetic tree construction. 108-115 - Si-Ho Yoo, Chanho Park, Sung-Bae Cho:
Analyzing fuzzy partitions of Saccharomyces cerevisiae cell-cycle gene expression data by Bayesian validation method. 116-122 - Carla D. Lopes, Josias O. Mainardi, Milton A. Zaro, Altamiro Amadeu Susin:
Classification of event-related potentials in individuals at risk for alcoholism using wavelet transform and artificial neural network. 123-128 - Jacob N. Allen, Hoda S. Abdel-Aty-Zohdy, Robert L. Ewing:
Electronic nose inhibition in a spiking neural network for noise cancellation. 129-133 - Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan:
Transmembrane segments prediction with support vector machine based on high performance encoding schemes. 134-139 - Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence Dooley:
Statistical neural networks and support vector machine for the classification of genetic mutations in ovarian cancer. 140-146 - Xiao Yang, Jagath C. Rajapakse:
Graphical approach for motif recognition in DNA sequences. 147-152 - Loi Sy Ho, Jagath C. Rajapakse:
High sensitivity technique for translation initiation site detection. 153-159 - Anthony J. Bonner, Han Liu:
Comparison of discrimination methods for peptide classification in tandem mass spectrometry. 160-167 - Scott F. Smith:
Protein family classification using structural and sequence information. 168-174 - Wei Zhong, Gulsah Altun, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan:
Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction. 175-181 - L. Gwenn Volkert, Deborah Stoffer:
A comparison of sequence alignment algorithms for measuring secondary structure similarity. 182-189 - Daniel A. Ashlock, Scott J. Emrich, Kenneth Mark Bryden, Steven M. Corns, Tsui-Jung Wen, Patrick S. Schnable
:
A comparison of evolved finite state classifiers and interpolated Markov models for improving PCR primer design. 190-197 - Ken-ichi Kurata, Vincent Breton, Hiroshi Nakamura:
Secret sequence comparison in distributed computing environments by interval sampling. 198-205 - Jacek Blazewicz, Marta Szachniuk, Adam Wójtowicz:
Evolutionary approach to NOE paths assignment in RNA structure elucidation. 206-213 - Alain Deschênes, Kay C. Wiese, Jagdeep Poonian:
Comparison of dynamic programming and evolutionary algorithms for RNA secondary structure prediction. 214-222 - Andrew Hendriks, Alain Deschênes, Kay C. Wiese:
A parallel evolutionary algorithm for RNA secondary structure prediction using stacking-energies (INN and INN-HB). 223-230 - Rosalba Giugno, Alfredo Pulvirenti, Marco Ragusa, Loredana Facciola, Laura Patelmo, Valentina Di Pietro, Cinzia Di Pietro, Michele Purrello, Alfredo Ferro:
Locally sensitive backtranslation based on multiple sequence alignment. 231-237 - Jürgen Paetz:
Evolutionary optimization of interval rules for drug design. 238-243 - Xiaohua Hu, Illhoi Yoo, Il-Yeol Song, Min Song, Jianchao Han, Mark Lechner:
Extracting and mining protein-protein interaction network from biomedical literature. 244-251 - Nora Speer, Christian Spieth, Andreas Zell:
A memetic clustering algorithm for the functional partition of genes based on the gene ontology. 252-259 - Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems. 260-267 - Xiao-hua Xu, Ling Chen, Yixin Chen:
A4C: an adaptive artificial ants clustering algorithm. 268-275
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