Prediction of Crohn's Disease by profiles of single nucleotide polymorphisms

Roberto Colella, Annarita D'Addabbo, Anna Latiano, Orazio Palmieri, Vito Annese, Nicola Ancona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper focuses on the comparison of two different approaches to the analysis of Single Nucleotide Polymorphism (SNP) profiles data regarding Crohn's Disease; the first one is based on a single SNP analysis, conducted by means of classical statistical tools, to assess the correlation existing between SNP's profile and phenotype; the second one makes use of classifiers based on Regularized Logistic Regression. The findings of the study show that the machine learning techniques adopted are able to provide statistically significant prediction accuracy of the phenotypic status of the subjects analyzed by SNP data. Moreover, they are poorly influenced by the noise embedded in the data and are suitable for genome-wide analysis.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages564-571
Number of pages8
Volume5179 LNAI
EditionPART 3
DOIs
Publication statusPublished - 2008
Event12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia
Duration: Sep 3 2008Sep 5 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume5179 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
CountryCroatia
CityZagreb
Period9/3/089/5/08

Keywords

  • Logistic regression
  • SNP data

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Colella, R., D'Addabbo, A., Latiano, A., Palmieri, O., Annese, V., & Ancona, N. (2008). Prediction of Crohn's Disease by profiles of single nucleotide polymorphisms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 5179 LNAI, pp. 564-571). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5179 LNAI, No. PART 3). https://doi.org/10.1007/978-3-540-85567-5-70