maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.
Tareian A. CazaresFaiz W. RizviBalaji IyerXiaoting ChenMichael KotliarAnthony T. BejjaniJoseph A. WaymanOmer DonmezBenjamin WronowskiSreeja ParameswaranLeah C. KottyanArtem BarskiMatthew T. WeirauchV. B. Surya PrasathEmily R. MiraldiPublished in: PLoS Comput. Biol. (2023)
Keyphrases
- dna binding
- neural network
- transcription factors
- genome wide
- binding sites
- protein interaction
- saccharomyces cerevisiae
- dna sequences
- high throughput
- motif discovery
- sequence similarity
- microarray
- transcription factor binding sites
- gene expression
- component analysis
- biological processes
- systems biology
- computational biology
- cell cycle
- microarray data
- independent component analysis
- co occurrence
- social networks