Quantifying the Turnover of Transcriptional Subclasses of HIV-1-Infected Cells.
Christian L. AlthausBeda JoosAlan S. PerelsonHuldrych F. GünthardPublished in: PLoS Comput. Biol. (2014)
Keyphrases
- information technology
- microarray data
- regulatory networks
- data processing
- binding sites
- hiv aids
- neural network
- microscope images
- gene expression
- human capital
- motif discovery
- cell lines
- computer viruses
- human resource management
- gene regulation
- microscopy images
- cellular automaton
- biological processes
- sequence data
- gene expression data
- high dimensional
- feature selection