Unsupervised genome-wide variant effect predictor based on pretraining of DNA language models

The Genomic Pre-trained Network (GPN), a multispecies model developed to learn genome-wide variant effects.

Related Keywords

,University Of California Santa Cruz ,Genomic Pre Trained Network ,Uniform Manifold Approximation ,California Santa Cruz ,Genome Browser ,Dna ,Enome ,Language ,Enetic ,Enomic ,Introns ,Ucleotide ,Nucleotides ,Protein ,