| Contents |
Introduction to omics / Ewa Gubb and Rune Matthiesen -- Machine learning : an indispensable tool in bioinformatics / Iñaki Inza ... [et al.] -- SNP-PHAGE : high-throughput SNP discovery pipeline / Ana M. Aransay, Rune Matthiesen, and Manuela M. Regueiro -- R classes and methods for SNP array data / Robert B. Scharpf and Ingo Ruczinski -- Overview on techniques in cluster analysis / Itziar Frades and Rune Matthiesen -- Nonalcoholic steatohepatitis, animal models, and biomarkers : what is new? : / Usue Ariz ... [et al.] -- Biomarkers in breast cancer / María dM. Vivanco -- Genome-wide proximal promoter analysis and interpretation / Elizabeth Guruceaga ... [et al.] -- Proteomics facing the combinatorial problem / Rune Matthiesen and António Amorim -- Methods and algorithms for relative quantitative proteomics by mass spectrometry / Rune Matthiesen and Ana Sofia Carvalho -- Feature selection and machine learning with mass spectrometry data / Susmita Datta and Vasyl Pihur -- Computational methods for analysis of two-dimensional gels / Gorka Lasso and Rune Matthiesen -- Mass spectrometry in epigenetic research / Hans Christian Beck -- Computational approaches to metabolomics / David S. Wishart -- Algorithms and methods for correlating experimental results with annotation databases / Michael Hackenberg and Rune Matthiesen -- Analysis of biological processes and diseases using text mining approaches / Martin Krallinger, Florian Leitner, and Alfonso Valencia. |
