%0 Figure %A J. Laydon, Daniel %A Melamed, Anat %A Sim, Aaron %A A. Gillet, Nicolas %A Sim, Kathleen %A Darko, Sam %A Simon Kroll, J. %A C. Douek, Daniel %A Price, David A. %A R. M. Bangham, Charles %A Asquith, Becca %D 2014 %T Test of species richness estimators at different values of curvature parameter (Cp) using TCR data. %U https://plos.figshare.com/articles/figure/_Test_of_species_richness_estimators_at_different_values_of_curvature_parameter_C_p_using_TCR_data_/1063200 %R 10.1371/journal.pcbi.1003646.g006 %2 https://ndownloader.figshare.com/files/1541844 %K cell biology %K Cellular types %K Animal cells %K Blood cells %K White blood cells %K t cells %K Immune cells %K immunology %K richness %K estimators %K curvature %K parameter %K tcr %X

The curvature parameter Cp is plotted against the relative error (|Sobs - Ŝobs| /Sobs) of each estimator. Four patient data sets are shown: A total CD4+ from patient C; B total CD4+ from patient E; C total CD8+ from patient C; D total CD8+ from patient E. Each point represents an estimate from a subsample of data. Note the plots have different y-axis scales and the y-axes in C and D are segmented. Broadly, the accuracy of all estimators improves as Cp increases, and this increase is more pronounced for DivE. From Cp>0.1, DivE generally outperforms the existing estimators, but is prone to error at very low values of Cp., when the rarefaction curve implies a near-constant rate of species accumulation.

%I PLOS Computational Biology