Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics

Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics

Abstract When analyzing large datasets from high-throughput technologies, researchers often encounter missing quantitative measurements, which are particularly frequent in metabolomics datasets. Metabolomics, the comprehensive profiling of metabolite abundances, are typically measured using mass spe...

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Bibliographic Details
Main Authors: Jonathan P. Dekermanjian, Elin Shaddox, Debmalya Nandy, Debashis Ghosh, Katerina Kechris
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Bioinformatics
Subjects:
Missing data
Imputation
Machine learning
Metabolomics
Online Access:https://doi.org/10.1186/s12859-022-04659-1

Internet

https://doi.org/10.1186/s12859-022-04659-1

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