Table of Contents – Part II
XLVII
30. Microarrays
CBR System with Reinforce in the Revision Phase for the Classification
of CLL Leukemia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
964
Juan F. De Paz, Sara Rodr´ıguez, Javier Bajo, and Juan M. Corchado
An Evolutionary Approach for Sample-Based Clustering on Microarray
Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
972
Daniel Glez-Pe˜
na, Fernando D´ıaz, Jos´
e R. M´
endez,
Juan M. Corchado, and Florentino Fdez-Riverola
EDA-Based Logistic Regression Applied to Biomarkers Selection in
Breast Cancer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
979
Santiago Gonz´
alez, Victor Robles, Jose Maria Pe˜
na, and Oscar Cubo
Oligonucleotide Microarray Probe Correction by FixedPoint ICA
Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
988
Raul Malutan, Pedro G´
omez, and Monica Borda
31. Cluster
Group Method of Documentary Collections Using Genetic
Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
992
Jos´
e Luis Castillo S., Jos´
e R. Fern´
andez del Castillo, and
Le´
on Gonz´
alez Sotos
Partitional Clustering of Protein Sequences – An Inductive Logic
Programming Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1001
Nuno A. Fonseca, Vitor S. Costa, Rui Camacho,
Cristina Vieira, and Jorge Vieira
Segregating Confident Predictions of Chemicals’ Properties for Virtual
Screening of Drugs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1005
Axel J. Soto, Ignacio Ponzoni, and Gustavo E. Vazquez
Efficient Biclustering Algorithms for Time Series Gene Expression Data
Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1013
Sara C. Madeira and Arlindo L. Oliveira
32. Pattern Recognition
Robust Association of Pathological Respiratory Events in SAHS
Patients: A Step towards Mining Polysomnograms . . . . . . . . . . . . . . . . . . . 1020
Abraham Otero and Paulo F´
elix
Population Extinction in Genetic Algorithms: Application in
Evolutionary Studies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1028
Antonio Carvajal-Rodr´ıguez and Fernando Carvajal-Rodr´ıguez
XLVIII
Table of Contents – Part II
Tabu Search for the Founder Sequence Reconstruction Problem: A
Preliminary Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1035
Andrea Roli and Christian Blum
Visually Guiding and Controlling the Search While Mining Chemical
Structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1043
Max Pereira, V´ıtor Santos Costa, Rui Camacho, and
Nuno A. Fonseca
Analysing the Evolution of Repetitive Strands in Genomes . . . . . . . . . . . . 1047
Jos´
e P. Lousado, Jos´
e Luis Oliveira, Gabriela R. Moura, and
Manuel A.S. Santos
33. Systems Biology
A SIS Epidemiological Model Based on Cellular Automata on
Graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1055
Mar´ıa J.
Fresnadillo, Enrique Garc´ıa, Jos´
e E.
Garc´ıa,
´
Angel Mart´ın, and Gerardo Rodr´ıguez
A Critical Review on Modelling Formalisms and Simulation Tools in
Computational Biosystems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1063
Daniel Machado, Rafael S. Costa, Miguel Rocha, Isabel Rocha,
Bruce Tidor, and Eug´
enio C. Ferreira
A Software Tool for the Simulation and Optimization of Dynamic
Metabolic Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1071
Pedro Evangelista, Isabel Rocha, Eug´
enio C. Ferreira, and
Miguel Rocha
Large Scale Dynamic Model Reconstruction for the Central Carbon
Metabolism of Escherichia coli . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1079
Rafael S. Costa, Daniel Machado, Isabel Rocha, and
Eug´
enio C. Ferreira
34. Bioinformatic Applications
Intuitive Bioinformatics for Genomics Applications: Omega-Brigid
Workflow Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1084
David D´ıaz, Sergio G´
alvez, Juan Falgueras, Juan Antonio Caballero,
Pilar Hern´
andez, Gonzalo Claros, and Gabriel Dorado
Current Efforts to Integrate Biological Pathway Information . . . . . . . . . . . 1092
Daniel Glez-Pe˜
na, Rub´
en Dom´ınguez, Gonzalo G´
omez-L´
opez,
David G. Pisano, and Florentino Fdez-Riverola
Table of Contents – Part II
XLIX
BioCASE: Accelerating Software Development of Genome-Wide
Filtering Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1097
Rosana Montes and Mar´ıa M. Abad-Grau
DynamicFlow: A Client-Side Workflow Management System . . . . . . . . . . . 1101
Pedro Lopes, Joel Arrais, and Jos´
e Lu´ıs Oliveira
Bayesian Joint Estimation of CN and LOH Aberrations . . . . . . . . . . . . . . . 1109
Paola M.V. Rancoita, Marcus Hutter, Francesco Bertoni, and
Ivo Kwee
Development of a Workflow for Protein Sequence Analysis Based on
the Taverna Workbench
R
Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1118
Mariana B. Monteiro, Manuela E. Pintado, Francisco X. Malcata,
Conrad Bessant, and Patr´ıcia R. Moreira
Automatic Prediction of the Genetic Code . . . . . . . . . . . . . . . . . . . . . . . . . . 1125
Mateus Patricio, Jaime Huerta-Cepas, Toni Gabald´
on,
Rafael Zardoya, and David Posada
35. Phylogenetic
Computational Challenges on Grid Computing for Workflows Applied
to Phylogeny . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1130
Ra´
ul Isea, Esther Montes, Antonio J. Rubio-Montero, and
Rafael Mayo
ZARAMIT: A System for the Evolutionary Study of Human
Mitochondrial DNA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1139
Roberto Blanco and Elvira Mayordomo
A First Insight into the In Silico Evaluation of the Accuracy of AFLP
Markers for Phylogenetic Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1143
Mar´ıa Jes´
us Garc´ıa-Pereira, Humberto Quesada, and
Armando Caballero
A Method to Compare MALDI—TOF MS PMF Spectra and Its
Application in Phyloproteomics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1147
Ignacio Ortea, Lorena Barros, Benito Ca˜
nas, Pilar Calo-Mata,
Jorge Barros-Vel´
azquez, and Jos´
e M. Gallardo
36. Proteins
A Screening Method for Z-Value Assessment Based on the Normalized
Edit Distance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1154
Guillermo Peris and Andr´
es Marzal
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