6533b873fe1ef96bd12d4c4c
RESEARCH PRODUCT
A new Multi-Layers Method to Analyze Gene Expression
Giosuè Lo BoscoVito Di GesùLuca PinelloGuo-cheng YuanDavide Coronasubject
Regulation of gene expressionbiologySettore INF/01 - InformaticaComputer scienceMicroarray analysis techniquesSaccharomyces cerevisiaeChromosomeComputational biologybiology.organism_classificationBioinformaticsSynthetic dataBioinformatics Nucleosome positioning Multi layer methods.ChromatinIdentification (information)chemistry.chemical_compoundchemistrySettore BIO/10 - BiochimicaGene expressionNucleosomeHidden Markov modelDNAdescription
In the paper a new Multi-Layers approach (called Multi-Layers Model MLM) for the analysis of stochastic signals and its application to the analysis of gene expression data is presented. It consists in the generation of sub-samples from the input signal by applying a threshold technique based on cut-set optimal conditions. The MLM has been applied on synthetic and real microarray data for the identification of particular regions across DNA called nucleosomes and linkers. Nucleosomes are the fundamental repeating subunits of all eukaryotic chromatin, and their positioning provides useful information regarding the regulation of gene expression in eukaryotic cells. Results have shown a good recognition rate on synthetic data, moreover, the MLM shows a good agreement with a recently published method based on Hidden Markov Model when tested on the Saccharomyces cerevisiae chromosomes microarray data.
year | journal | country | edition | language |
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2007-01-01 |