GEO DataSets

(Submitter supplied) Here, we combine comparative regulatory genomics with machine learning to investigate enhancer logic in melanoma. Through epigenomics profiling of 26 melanoma cell lines across six species, we examine the conservation of the two main melanoma states and underlying master regulators. By training a deep neural network on topic models derived from the human lines, we were able to classify not only human melanoma enhancers, but also regulatory regions in the other species. more...

Organism:

Mus musculus; Homo sapiens; Canis lupus familiaris; Sus scrofa domesticus; Danio rerio; Equus caballus

Type:

Genome binding/occupancy profiling by high throughput sequencing

7 related Platforms

23 Samples

Download data: BW