NMF-based approach for missing values imputation of mass spectrometry metabolomics data
In mass spectrometry (MS)-based metabolomics, missing values (NAs) may be due to different causes, including sample heterogeneity, ion suppression, spectral overlap, inappropriate data processing, and instrumental errors. Although a number of methodologies have been applied to handle NAs, NA imputat...
Main Authors: | Xu, Jingjing, Wang, Yuanshan, Xu, Xiangnan, Cheng, Kian Kai, Raftery, Daniel, Dong, Jiyang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/94205/1/ChengKianKai2021_NMFBasedApproachforMissing.pdf |
Similar Items
-
NMF-Based Approach for Missing Values Imputation of Mass Spectrometry Metabolomics Data
by: Jingjing Xu, et al.
Published: (2021-09-01) -
An Evaluation of Machine Learning Algorithms for Missing Values Imputation
by: Kohbalan, Moorthy, et al.
Published: (2019) -
A Novel Network Modelling for Metabolite Set Analysis: A Case Study on CRC Metabolomics
by: Yueyue Liu, et al.
Published: (2020-01-01) -
Missing-values imputation algorithms for microarray gene expression data
by: Moorthy, Kohbalan, et al.
Published: (2019) -
A Workflow for Missing Values Imputation of Untargeted Metabolomics Data
by: Tariq Faquih, et al.
Published: (2020-11-01)