Measuring single-cell level gene expression stability and variability in healthy and severe COVID-19 patients using Kullback-Leibler divergence.
Inseung HwangJaeyeon JangKwangsoo KimHye-Yeong JoSang Cheol KimInuk JungPublished in: BIBM (2022)
Keyphrases
- gene expression
- kullback leibler divergence
- microarray
- gene expression data
- survival prediction
- microarray data
- gene expression patterns
- mutual information
- distance measure
- biological processes
- information theory
- gene regulation
- regulatory networks
- probability density function
- information theoretic
- gene expression profiles
- gene selection
- binding sites
- high throughput
- prior knowledge
- data sets
- gene regulatory networks
- gene ontology
- marginal distributions
- random variables
- association rules