no code implementations • 29 Sep 2021 • Hüseyin Anil Gündüz, Martin Binder, Xiao-Yin To, René Mreches, Philipp C. Münch, Alice C McHardy, Bernd Bischl, Mina Rezaei
We introduce Self-GenomeNet, a novel contrastive self-supervised learning method for nucleotide-level genomic data, which substantially improves the quality of the learned representations and performance compared to the current state-of-the-art deep learning frameworks.