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Fuzzy scaling analysis of a mouse mutant with brain morphological changes
The University of New SouthWales, Canberra, A.C.T. 2600, Australia.ORCID iD: 0000-0002-4255-5130
The University of New SouthWales, Canberra, A.C.T. 2600, Australia.
The University of New SouthWales, Canberra, A.C.T. 2600, Australia.
2009 (English)In: Information Technology in Biomedicine, IEEE Transactions on, ISSN 1089-7771, Vol. 13, no 4, 629-635 p.Article in journal (Refereed) PublishedText
Abstract [en]

Scaling behavior inherently exists in fundamental biological structures, and the measure of such an attribute can only be known at a given scale of observation. Thus, the properties of fractals and power-law scaling have become attractive for research in biology and medicine because of their potential for discovering patterns and characteristics of complex biological morphologies. Despite the successful applications of fractals for the life sciences, the quantitative measure of the scale invariance expressed by fractal dimensions is limited in more complex situations, such as for histopathological analysis of tissue changes in disease. In this paper, we introduce the concept of fuzzy scaling and its analysis of a mouse mutant with postnatal brain morphological changes.

Place, publisher, year, edition, pages
2009. Vol. 13, no 4, 629-635 p.
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:liu:diva-125031DOI: 10.1109/TITB.2009.2019638PubMedID: 19369166OAI: oai:DiVA.org:liu-125031DiVA: diva2:902763
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-24

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Pham, Tuan D
Bioinformatics and Systems Biology

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