Polarity-free automatic classification of chromosomes.

DOI10.1016/S0167-9473(00)00022-0zbMath1080.62552OpenAlexW2081916064MaRDI QIDQ5940797

Gunter Ritter, Christoph Pesch

Publication date: 20 August 2001

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(00)00022-0

zbMATH Keywords

Bayesian classificationAutomatic chromosome classificationDiagnostic classificationKaryotypingMethod of variants

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biochemistry, molecular biology (92C40)

Related Items (4)

Automatic segmentation of metaphase cells based on global context and variant analysis ⋮ Bayesian object identification: variants ⋮ Using dominant points and variants for profile extraction from chomosomes ⋮ Parameter estimation under ambiguity and contamination with the spurious model

Cites Work

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• Bayesian object identification: variants
• The transportation algorithm as an aid to chromosome classification
• Signature Methods for the Assignment Problem
• A Discriminant Analysis Approach to the Identification of Human Chromosomes
• On the profit of taking into account the known number of objects per class in classification methods (Corresp.)
• Improved chromosome classification using monotonic functions of mahalanobis distance and the transportation method
• Using dominant points and variants for profile extraction from chomosomes

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