Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data.
Chen ZhaoKuan-Jui SuChong WuXuewei CaoQiuying ShaWu LiZhe LuoQing TianChuan QiuLan Juan ZhaoAnqi LiuLindong JiangXiao ZhangHui ShenWeihua ZhouHong-Wen DengPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- missing values
- missing data
- incomplete data
- high dimensional data
- missing information
- data sets
- multiscale
- data analysis
- data points
- missing data imputation
- incomplete data sets
- data mining
- multiple imputation
- database
- original data
- machine learning
- data cleaning
- decision trees
- data matrix
- maximum likelihood
- knowledge discovery
- missing attribute values
- data imputation
- training set