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PubMed · 7444932

A new algorithm for clustering lymphocyte typing sera.

C E Kahn·M Curie-Cohen·W H Stone
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Abstract

An algorithm is presented for clustering antisera by computer. It has two 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 two sera is defined from the 2 X 2 table of serum reactions as s = 2a/(2a + b + c). This similarity index is a better measure of the similarity between two 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.

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Blood Grouping and CrossmatchingComputersHumansLymphocytesMathematicsJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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C E Kahn, M Curie-Cohen, W H Stone. 1980. A new algorithm for clustering lymphocyte typing sera.. https://doi.org/10.1111/j.1399-0039.1980.tb00207.x

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