Estimating single-cell lag times via a Bayesian scheme.
Network models offer computationally efficient tools for estimating the variability of single-cell lag phases. Currently, optical methods for estimating the variability of single-cell lag phases use single-cell inocula and are technically challenging. A Bayesian network model incorporating small uncertain inocula addresses these limitations.
Malakar
P K
PK
Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom. pradeep.malakar@bbsrc.ac.uk
Barker
G C
GC
D001419:Bacteria / Q000254:growth & development*; D001499:Bayes Theorem; D013997:Time Factors