A new Multi-Layers Method to Analyze Gene Expression

Vito Di Gesu', Giosue' Lo Bosco, Davide Corona, Davide F. V. Corona, Guo-Cheng Yuan, Luca Pinello

Risultato della ricerca: Conference contribution

4 Citazioni (Scopus)

Abstract

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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteLecture Notes in Computer Science, 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007
Pagine862-869
Numero di pagine8
Stato di pubblicazionePublished - 2007

Serie di pubblicazioni

NomeLECTURE NOTES IN COMPUTER SCIENCE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • ???subjectarea.asjc.1700.1700???

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