HB-PLS: A statistical method for identifying biological process or pathway regulators by integrating Huber loss and Berhu penalty with partial least squares regression

HB-PLS: A statistical method for identifying biological process or pathway regulators by integrating Huber loss and Berhu penalty with partial least squares regression

Gene expression data features high dimensionality, multicollinearity, and non-Gaussian distribution noise, posing hurdles for identification of true regulatory genes controlling a biological process or pathway. In this study, we integrated the Huber loss function and the Berhu penalty (HB) into part...

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Bibliographic Details
Main Authors: Wenping Deng, Kui Zhang, Cheng He, Sanzhen Liu, Hairong Wei
Format: Article
Language:English
Published: Maximum Academic Press 2021-01-01
Series:Forestry Research
Subjects:
huber loss
berhu penalty
partial least squares regression
huber-berhu partial least squares
pathway regulators
Online Access:https://www.maxapress.com/article/doi/10.48130/FR-2021-0006

Internet

https://www.maxapress.com/article/doi/10.48130/FR-2021-0006

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