Robust classification using average correlations as features (ACF)

Robust classification using average correlations as features (ACF)

Abstract Motivation In single-cell transcriptomics and other omics technologies, large fractions of missing values commonly occur. Researchers often either consider only those features that were measured for each instance of their dataset, thereby accepting severe loss of information, or use imputat...

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Bibliographic Details
Main Authors: Yannis Schumann, Julia E. Neumann, Philipp Neumann
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Bioinformatics
Subjects:
Classification
Machine learning
Correlation
Missing values
scRNA-seq
Online Access:https://doi.org/10.1186/s12859-023-05224-0

Internet

https://doi.org/10.1186/s12859-023-05224-0

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