Data Analysis and Visualization in Genomics and Proteomics
Francisco Azuaje, Joaquin Dopazo
John Wiley & Sons, Jun 24, 2005 - Science - 284 pages
Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems.
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algorithms alignment analysis and visualization application approach Bayesian network biclustering Bioinformatics Biol biological data cell cerevisiae classification clustering algorithms clustering methods combination complex computational correlation data analysis databases datasets differential expression distribution DNA microarrays domains Dopazo elegans evaluation example experimental experiments function prediction functional annotation functional genomics gene expression data gene function Gene Ontology genetic networks genome-wide Genomics and Proteomics GO terms high-throughput identify integrative data interaction data interaction networks interactome InterPro machine learning microarray data missing values molecular biology multiple nodes Nucleic Acids Nucleic Acids Res organisms parameters pathways patterns phenotype phenotype data prediction models probabilistic graphical models problem protein interactions protein pairs protein structures protein–protein interactions Proteomics relationships relevant residues Saccharomyces cerevisiae similar specific statistical SWISS-PROT systems biology techniques tests text mining transcription transcriptome types UniProt variables vector Walhout yeast