netQDA: Local Network-Guided High-Dimensional Quadratic Discriminant Analysis

netQDA: Local Network-Guided High-Dimensional Quadratic Discriminant Analysis

Quadratic Discriminant Analysis (QDA) is a well-known and flexible classification method that considers differences between groups based on both mean and covariance structures. However, the connection structures of high-dimensional predictors are usually not explicitly incorporated into modeling. In...

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Bibliographic Details
Main Authors: Xueping Zhou, Wei Chen, Yanming Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
differentially connected gene
feature selection
gene coregulation network
quadratic discriminant analysis
untralhigh-dimensional feature screening
weak differentially expressed gene
Online Access:https://www.mdpi.com/2227-7390/12/23/3823
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