Chunk #34 — Methods — Generalized linear models

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Statistical modeling for sensitive detection of low-frequency single nucleotide variants.

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yes

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The zero-inflated Poisson distribution can be written as:3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ P\left({N}_{s,b,l}={n}_{s,b,l}\Big|{\pi}_{s,b,l},\ {\lambda}_{s,b,l},\theta \right)=\Big\{\begin{array}{c}\hfill {\pi}_{s,b,l}+\left(1-{\pi}_{s,b,l}\right) Pois\left({\lambda}_{s,b,l};0\right)\kern3.5em if\kern0.5em {n}_{s,b,l}=0\hfill \\ {}\hfill \left(1-{\pi}_{s,b,l}\right) Pois\left({\lambda}_{s,b,l};{n}_{s,b,l}\right)\kern5.5em if\kern0.5em {n}_{s,b,l}>0\hfill \end{array} $$\end{document}PNs,b,l=ns,b,l|πs,b,l,λs,b,l,θ={πs,b,l+1−πs,b,lPoisλs,b,l0ifns,b,l=01−πs,b,lPoisλs,b,lns,b,lifns,b,l>0