Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
BMC Genomics. 2006 Oct 30;7:277.

Mining housekeeping genes with a Naive Bayes classifier.

Author information

  • 1School of Informatics, the University of Edinburgh, Edinburgh EH8 9LE, UK. ldeferra@inf.ed.ac.uk

Abstract

BACKGROUND:

Traditionally, housekeeping and tissue specific genes have been classified using direct assay of mRNA presence across different tissues, but these experiments are costly and the results not easy to compare and reproduce.

RESULTS:

In this work, a Naive Bayes classifier based only on physical and functional characteristics of genes already available in databases, like exon length and measures of chromatin compactness, has achieved a 97% success rate in classification of human housekeeping genes (93% for mouse and 90% for fruit fly).

CONCLUSION:

The newly obtained lists of housekeeping and tissue specific genes adhere to the expected functions and tissue expression patterns for the two classes. Overall, the classifier shows promise, and in the future additional attributes might be included to improve its discriminating power.

PMID:
17074078
[PubMed - indexed for MEDLINE]
PMCID:
PMC1635426
Free PMC Article

Images from this publication.See all images (5)Free text

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for BioMed Central Icon for PubMed Central
    Loading ...
    Write to the Help Desk