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The Use of Distribution Functions to Describe Integrated Density Profiles of Human Chromosomes
Linköping University, Department of Electrical Engineering, Computer Vision . Linköping University, The Institute of Technology.
1973 (English)In: Journal of Theoretical Biology, ISSN 0022-5193, Vol. 40, no 3, 573-589 p.Article in journal (Refereed) Published
Abstract [en]

The advent of new stains for chromosomes has increased the possibilities that useful automated chromosome analysis can be implemented. The search for appropriate descriptors to use in this process is an important task. Data compression using integrated intensity and density profiles has already shown itself to be valuable. A method is proposed in this paper to describe these profiles as a sum of distribution functions. Every distribution function can be described by a triplet stating peak height, position, and width and it appears that these parameters are directly related to physical processes. The importance of such parameters in statistical chromosome analysis is emphasized. A classification experiment is described in which 240 chromosomes 1 to 22, X and Y have been classified with an accuracy of 96%.

Place, publisher, year, edition, pages
1973. Vol. 40, no 3, 573-589 p.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-21594DOI: 10.1016/0022-5193(73)90011-8PubMedID: 4127830OAI: diva2:241556
Available from: 2009-10-04 Created: 2009-10-04 Last updated: 2009-10-04

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Granlund, Gösta H.
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Computer Vision The Institute of Technology
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