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Automatic chromosome analysis
Author(s) -
Lundsteen Claes,
Bjerregaard Beth,
Granum Erik,
Philip John,
Philip Kim
Publication year - 1980
Publication title -
clinical genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.543
H-Index - 102
eISSN - 1399-0004
pISSN - 0009-9163
DOI - 10.1111/j.1399-0004.1980.tb00131.x
Subject(s) - karyotype , word error rate , chromosome analysis , bayes' theorem , sequence (biology) , chromosome , genetics , error analysis , sequence analysis , biology , computational biology , computer science , statistics , mathematics , algorithm , pattern recognition (psychology) , artificial intelligence , bayesian probability , dna , gene
This paper describes an approach to the automatic analysis of banded B‐ and D‐group chromosomes, represented by band transition sequences (BT‐sequences), using Bayes formula in a simple way. The analysis considers the 14 BT‐codes constituting the BT‐sequence as being independent variables. Error rates of 6–8 % in classification experiments and 3–4 % in karyotyping experiments are clearly smaller than those reported by other authors using other methods. If the error rates of karyotyping are adjusted for errors in the basic material, they are reduced to 2–3 %. The reason for the small error rate is presumably that the BT‐sequences are superior to other methods for condensed band‐pattern description. The method will be incorporated into a programme system for automatic karyotyping.