Separating Biological Variance from Noise by Applying Expectation-Maximization Algorithm to Modified General Linear Model

The general linear model (GLM) has been widely used in research, where the error term has been treated as noise. However, compelling evidence suggests that in biological systems, the target variables may possess their innate variances. A modified GLM was proposed to explicitly model biological varia...

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Vydané v:	Journal of computational biology Ročník 32; číslo 12; s. 1121
Hlavný autor:	Lee, Tien-Wen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.12.2025
Predmet:	Algorithms Humans Linear Models Models, Biological Signal-To-Noise Ratio expectation–maximization algorithm design matrix global optimum general linear model local optimum
ISSN:	1557-8666, 1557-8666
On-line prístup:	Zistit podrobnosti o prístupe
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