Improved chromosome classification using monotonic functions of mahalanobis distance and the transportation method

DOI10.1007/BF01432971zbMath0819.92007MaRDI QIDQ4834223

Peter Kleinschmidt, Ilse Mitterreiter, J. Piper

Publication date: 31 August 1995

Published in: [https://portal.mardi4nfdi.de/entity/Q4289815 ZOR Zeitschrift f�r Operations Research Mathematical Methods of Operations Research] (Search for Journal in Brave)

zbMATH Keywords

likelihoodconstrained classificationtransportation modelkaryotypingestimated covarianceaccuracy of chromosome classificationcontext-free classificationhuman metaphase celllogarithm of the Mahalanobis distance

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Related Items (1)

Polarity-free automatic classification of chromosomes.

Uses Software

• bootstrap

Cites Work

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• The transportation algorithm as an aid to chromosome classification
• Statistical Methods for Classification of Human Chromosomes
• On the profit of taking into account the known number of objects per class in classification methods (Corresp.)
• Human chromosome classification based on local band descriptors

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