Literature DB >> 8947673

Centromere attribute integration based chromosome polarity assignment.

R J Stanley1, J Keller, C W Caldwell, P Gader.   

Abstract

Automated karyotyping involves evaluating quantified chromosome attributes for proper classification. Chromosome attributes derived from the banding pattern require the correct chromosome polarity for correct banding sequence interpretation. Chromosome polarity is defined in terms of determining the short and long arms of the chromosome using the centromere as the reference point for measuring the chromosome length on both sides of the centromere. In addition to banding sequence interpretation, polarity is used in the chromosome orientation for chromosome repositioning from the metaphase spread to the karyotype. Automated polarity determination is often not performed for classifying chromosomes in the metaphase spread image. Polarity may be determined user interactively, by the system, or not at all. In order to reduce the computational complexity of evaluating banding sequence features using both chromosome ends as reference points, there is a need to improve chromosome polarity determination in automated karyotyping. A centromere attribute integration approach has been developed at the University of Missouri-Columbia which performs correct chromosome polarity assessment at a rate comparable to other studies of 96.1% on a diversified data set.

Mesh:

Year:  1996        PMID: 8947673      PMCID: PMC2233063     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  6 in total

1.  Automated multiple-cell karyotyping: a clinical feasibility study.

Authors:  C Lundsteen; T Gerdes; J Maahr
Journal:  Clin Genet       Date:  1991-05       Impact factor: 4.438

2.  The Athena semi-automated karyotyping system.

Authors:  L J van Vliet; I T Young; B H Mayall
Journal:  Cytometry       Date:  1990

3.  On fully automatic feature measurement for banded chromosome classification.

Authors:  J Piper; E Granum
Journal:  Cytometry       Date:  1989-05

4.  Automation of routine clinical chromosome analysis. I. Karyotyping by machine.

Authors:  J Graham
Journal:  Anal Quant Cytol Histol       Date:  1987-10       Impact factor: 0.302

5.  Constrained Markov networks for automated analysis of G-banded chromosomes.

Authors:  C Guthrie; J Gregor; M G Thomason
Journal:  Comput Biol Med       Date:  1993-03       Impact factor: 4.589

6.  Centromere index derivation by a novel and convenient approach.

Authors:  H F Mark; R Mark; T Pan; Y Mark
Journal:  Ann Clin Lab Sci       Date:  1993 Jul-Aug       Impact factor: 1.256

  6 in total

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