A New Algorithm for Clustering Lymphocyte Typing Sera
- 1 May 1980
- journal article
- research article
- Published by Wiley in Tissue Antigens
- Vol. 15 (5), 447-454
- https://doi.org/10.1111/j.1399-0039.1980.tb00207.x
Abstract
An algorithm is presented for clustering antisera by computer. It has 2 novel features: the leading serum to which all other sera in the cluster are compared is chosen as the most centrally located serum in the cluster; the similarity between 2 sera is defined from the 2 .times. 2 table of serum reactions as s = 2a/(2a + b + c). This similarity index is a better measure of the similarity between 2 sera than conventional measures of similarity such as the correlation coefficient. Finally, the identification of cluster and serum subsets provides a more complete analysis of cross-reactivity and multispecificity, and suggests which absorptions might yield monospecific typing sera. A computer program which performs this serum cluster analysis is available upon request.This publication has 7 references indexed in Scilit:
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