Microarray Bioinformatics

Description

This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results. Cutting-edge and authoritative, Microarray Bioinformatics serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets. Front Matter ....Pages i-x Introduction to Bioinformatics (Dilara Ayyildiz, Silvano Piazza)....Pages 1-15 Protocol for DNA Microarrays on Glass Slides (Kathleen M. Eyster)....Pages 17-33 Data Warehousing with TargetMine for Omics Data Analysis (Yi-An Chen, Lokesh P. Tripathi, Kenji Mizuguchi)....Pages 35-64 A Review of Microarray Datasets: Where to Find Them and Specific Characteristics (Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández, Noelia Sánchez-Maroño)....Pages 65-85 Statistical Analysis of Microarray Data (Ricardo Gonzalo Sanz, Alex Sánchez-Pla)....Pages 87-121 Feature Selection Applied to Microarray Data (Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández, Borja Seijo-Pardo)....Pages 123-152 Cluster Analysis of Microarray Data (Manuel Franco, Juana-María Vivo)....Pages 153-183 Classification of Microarray Data (Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez)....Pages 185-205 Microarray Data Normalization and Robust Detection of Rhythmic Features (Yolanda Larriba, Cristina Rueda, Miguel A. Fernández, Shyamal D. Peddada)....Pages 207-225 HPC Tools to Deal with Microarray Data (Jorge González-Domínguez, Roberto R. Expósito)....Pages 227-243 ROC Curves for the Statistical Analysis of Microarray Data (Ricardo Cao, Ignacio López-de-Ullibarri)....Pages 245-253 Missing-Values Imputation Algorithms for Microarray Gene Expression Data (Kohbalan Moorthy, Aws Naser Jaber, Mohd Arfian Ismail, Ferda Ernawan, Mohd Saberi Mohamad, Safaai Deris)....Pages 255-266 Computer Tools to Analyze Microarray Data (Giuseppe Agapito)....Pages 267-282 Challenges and Future Trends for Microarray Analysis (Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Ignacio López-de-Ullibarri, Ricardo Cao)....Pages 283-293 Back Matter ....Pages 295-299