The fields of Bioinformatics and Computational Biology have been growing steadily over the last few years boosted by an increasing need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology. This calls for new algorithms and approaches from fields such as Data Integration, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence.
Author(s): Liliana López Kleine, Víctor Andrés Vera Ruiz (auth.), Miguel P. Rocha, Florentino Fernández Riverola, Hagit Shatkay, Juan Manuel Corchado (eds.)
Series: Advances in Intelligent and Soft Computing 74
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 240
Tags: Computational Intelligence; Computational Biology/Bioinformatics; Bioinformatics; Artificial Intelligence (incl. Robotics)
Front Matter....Pages -
Highlighting Differential Gene Expression between Two Condition Microarrays through Heterogeneous Genomic Data: Application to Lesihmania infantum Stages Comparison....Pages 1-8
An Experimental Evaluation of a Novel Stochastic Method for Iterative Class Discovery on Real Microarray Datasets....Pages 9-16
Automatic Workflow during the Reuse Phase of a CBP System Applied to Microarray Analysis....Pages 17-24
A Comparative Study of Microarray Data Classification Methods Based on Ensemble Biological Relevant Gene Sets....Pages 25-32
Predicting the Start of Protein α -Helices Using Machine Learning Algorithms....Pages 33-41
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups....Pages 43-51
GRASP for Instance Selection in Medical Data Sets....Pages 53-60
Expanding Gene-Based PubMed Queries....Pages 61-68
Improving Cross Mapping in Biomedical Databases....Pages 69-76
An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition....Pages 77-84
Feature Selection Using Multi-Objective Evolutionary Algorithms: Application to Cardiac SPECT Diagnosis....Pages 85-92
Two Results on Distances for Phylogenetic Networks....Pages 93-100
Cramér Coefficient in Genome Evolution....Pages 101-107
An Application for Studying Tandem Repeats in Orthologous Genes....Pages 109-115
Accurate Selection of Models of Protein Evolution....Pages 117-121
Scalable Phylogenetics through Input Preprocessing....Pages 123-130
The Median of the Distance between Two Leaves in a Phylogenetic Tree....Pages 131-135
In Silico AFLP: An Application to Assess What Is Needed to Resolve a Phylogeny....Pages 137-141
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy....Pages 143-150
Structure Based Design of Potential Inhibitors of Steroid Sulfatase....Pages 151-156
Agent-Based Model of the Endocrine Pancreas and Interaction with Innate Immune System....Pages 157-164
State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs....Pages 165-173
Pharmacophore-Based Screening as a Clue for the Discovery of New P-Glycoprotein Inhibitors....Pages 175-180
e -BiMotif: Combining Sequence Alignment and Biclustering to Unravel Structured Motifs....Pages 181-191
Applying a Metabolic Footprinting Approach to Characterize the Impact of the Recombinant Protein Production in Escherichia coli ....Pages 193-200
Rbbt: A Framework for Fast Bioinformatics Development with Ruby....Pages 201-208
Analysis of the Effect of Reversibility Constraints on the Predictions of Genome-Scale Metabolic Models....Pages 209-215
Enhancing Elementary Flux Modes Analysis Using Filtering Techniques in an Integrated Environment....Pages 217-224
Genome Visualization in Space....Pages 225-232
A Hybrid Scheme to Solve the Protein Structure Prediction Problem....Pages 233-240
Back Matter....Pages -
