Regularized Sparse Modelling for Microarray Missing Value Estimation

The existence of missing values in microarray data inevitably hinders downstream biological analyses that expect complete data as input, therefore how to effectively explore the underlying structure of data to accurately estimate missing entries remains crucial and meaningful. In this study, we form...

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Bibliographic Details
Main Authors: Aiguo Wang, Jing Yang, Ning An
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9333651/