Ebook: Computational Intelligence Methods for Bioinformatics and Biostatistics: 7th International Meeting, CIBB 2010, Palermo, Italy, September 16-18, 2010, Revised Selected Papers

This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010.
The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).

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This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010.
The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).

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This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010.
The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).
Content:
Front Matter....Pages -
Management and Analysis of Protein-to-Protein Interaction Data....Pages 1-12
The Three Steps of Clustering in the Post-Genomic Era: A Synopsis....Pages 13-30
De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks....Pages 31-43
Osmoprotectants in the Sugarcane (Saccharum spp.) Transcriptome Revealed by in Silico Evaluation....Pages 44-58
IP6K Gene Discovery in Plant mtDNA....Pages 59-71
Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Analysis....Pages 72-85
An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice....Pages 86-97
Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods....Pages 98-111
Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy....Pages 112-122
Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways....Pages 123-134
Qualitative Reasoning on Systematic Gene Perturbation Experiments....Pages 135-146
Biclustering by Resampling....Pages 147-158
Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections....Pages 159-173
MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking....Pages 174-187
A Multi-relational Learning Framework to Support Biomedical Applications....Pages 188-202
Data Driven Generation of Fuzzy Systems: An Application to Breast Cancer Detection....Pages 203-214
A Knowledge Based Decision Support System for Bioinformatics and System Biology....Pages 215-228
Dynamic Simulations of Pathways Downstream of ERBB-Family: Exploration of Parameter Space and Effects of Its Variation on Network Behavior....Pages 229-241
Robustness Analysis of a Linear Dynamical Model of the Drosophila Gene Expression....Pages 242-252
Intelligent Clinical Decision Support Systems for Non-invasive Bladder Cancer Diagnosis....Pages 253-262
Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering....Pages 263-274
Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods....Pages 275-286
Back Matter....Pages -

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This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010.
The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).
Content:
Front Matter....Pages -
Management and Analysis of Protein-to-Protein Interaction Data....Pages 1-12
The Three Steps of Clustering in the Post-Genomic Era: A Synopsis....Pages 13-30
De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks....Pages 31-43
Osmoprotectants in the Sugarcane (Saccharum spp.) Transcriptome Revealed by in Silico Evaluation....Pages 44-58
IP6K Gene Discovery in Plant mtDNA....Pages 59-71
Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Analysis....Pages 72-85
An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice....Pages 86-97
Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods....Pages 98-111
Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy....Pages 112-122
Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways....Pages 123-134
Qualitative Reasoning on Systematic Gene Perturbation Experiments....Pages 135-146
Biclustering by Resampling....Pages 147-158
Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections....Pages 159-173
MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking....Pages 174-187
A Multi-relational Learning Framework to Support Biomedical Applications....Pages 188-202
Data Driven Generation of Fuzzy Systems: An Application to Breast Cancer Detection....Pages 203-214
A Knowledge Based Decision Support System for Bioinformatics and System Biology....Pages 215-228
Dynamic Simulations of Pathways Downstream of ERBB-Family: Exploration of Parameter Space and Effects of Its Variation on Network Behavior....Pages 229-241
Robustness Analysis of a Linear Dynamical Model of the Drosophila Gene Expression....Pages 242-252
Intelligent Clinical Decision Support Systems for Non-invasive Bladder Cancer Diagnosis....Pages 253-262
Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering....Pages 263-274
Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods....Pages 275-286
Back Matter....Pages -
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