OLYMPUS: An automated hybrid clustering method in time series gene expression. Case study: Host response after Influenza A (H1N1) infection

Abstract The increasing flow of short time series microarray experiments for the study of dynamic cellular processes poses the need for efficient clustering tools. These tools must deal with three primary issues: first, to consider the multi-functionality of genes; second, to evaluate the similarity...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2013-09, Vol.111 (3), p.650-661
Hauptverfasser:	Dimitrakopoulou, Konstantina, Vrahatis, Aristidis G, Wilk, Esther, Tsakalidis, Athanasios K, Bezerianos, Anastasios
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Automation Biological and medical sciences Cell Cycle Cellular Clustering Computer science control theory systems Data processing. List processing. Character string processing Dynamic biological process Dynamics Exact sciences and technology Fundamental and applied biological sciences. Psychology Fuzzy Fuzzy Logic Gene expression Gene expression data Gene Expression Regulation, Viral Genes Homeostasis Host-Pathogen Interactions Humans Immunity, Innate Inference from stochastic processes time series analysis Influenza A kinetic model Influenza A Virus, H1N1 Subtype - isolation & purification Influenza, Human - immunology Influenza, Human - virology Internal Medicine Mathematics Memory organisation. Data processing Molecular and cellular biology Molecular genetics Other Probability and statistics Sciences and techniques of general use Short time series Software Statistics Time series
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