z-logo
open-access-imgOpen Access
Counting single cells and computing their heterogeneity: from phenotypic frequencies to mean value of a quantitative biomarker
Author(s) -
Qian Hong,
Cheng YuChen
Publication year - 2020
Publication title -
quantitative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.707
H-Index - 15
eISSN - 2095-4697
pISSN - 2095-4689
DOI - 10.1007/s40484-020-0196-3
Subject(s) - statistics , biomarker , phenotype , sample size determination , sample (material) , population , value (mathematics) , expected value , probability distribution , mathematics , statistical physics , biology , physics , genetics , medicine , thermodynamics , environmental health , gene
This tutorial presents a mathematical theory that relates the probability of sample frequencies, of M phenotypes in an isogenic population of N cells, to the probability distribution of the sample mean of a quantitative biomarker, when the N is very large. An analogue to the statistical mechanics of canonical ensemble is discussed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here