Classification and regression trees for bone marrow immunophenotyping
| Autor: | Carleton C. Stewart, Richard J. Beckman, G. C. Salzman |
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| Rok vydání: | 1995 |
| Předmět: |
Cell type
Pathology medicine.medical_specialty Biophysics Bone Marrow Cells Biology Immunophenotyping Pathology and Forensic Medicine Flow cytometry Automation Endocrinology Antigen Bone Marrow Reference Values medicine Humans Leukemia medicine.diagnostic_test Decision Trees Cell Biology Hematology Classification medicine.disease Regression medicine.anatomical_structure Normal bone Immunology Regression Analysis Bone marrow |
| Zdroj: | Cytometry. 20:210-217 |
| ISSN: | 1097-0320 0196-4763 |
| DOI: | 10.1002/cyto.990200304 |
| Popis: | Methods are needed to assist with automating three-color flow cytometric immunophenotyping of bone marrow from leukemia patients. Described is a method in which a normal bone marrow data set is used as a template against which to compare leukemic bone marrow data sets. This template is obtained using techniques of cluster analysis and cluster editing. Leukemic cells often inappropriately express antigens and appear in a different part of the multivariate data space than normal cells. To recognize the cells exhibiting inappropriate antigen expression, an artificial cluster of "cells" is added to the normal template. The "cells" in this cluster fill the space not occupied by normal cells. Classification and regression tree (CART) analysis is used to train a classifier that can then be used to isolate the major cell types and the inappropriate expression cells in a leukemic bone marrow specimen. |
| Databáze: | OpenAIRE |
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