Genomic analysis uncovered genetic, transcriptional, and drug response shifts between different cultures, or "strains," of the same human cancer cell lines.
DCell, a visible neural network, uses deep learning techniques to model cellular behavior almost as accurately as has been observed in laboratory settings.
Researchers hope to tease out the signature effects that different carcinogens leave on the genome to determine their contributions to disease, Mosaic reports.
