Imputation of single-cell gene expression with an autoencoder neural network.
Md. Bahadur BadshaRui LiBoxiang LiuYang I. LiMin XianNicholas E. BanovichAudrey Qiuyan FuPublished in: Quant. Biol. (2020)
Keyphrases
- gene expression
- neural network
- microarray
- gene expression data
- microarray data
- biological processes
- gene expression patterns
- gene regulation
- gene expression data sets
- regulatory networks
- gene expression data analysis
- high throughput
- functional genomics
- gene expression analysis
- colon cancer
- gene expression profiles
- gene interactions
- biological networks
- missing values
- machine learning
- gene ontology
- differentially expressed genes
- dna microarray
- binding sites
- cell cycle
- missing data
- gene selection
- drosophila melanogaster
- feature space
- nearest neighbor
- microarray technology
- network model
- protein interaction
- cancer diagnosis
- genomic data
- microarray datasets
- transcription factors