6 citations · 13 across the 8 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 5 cited
Latent Diffusion Model for DNA Sequence Generation
Zehui Li, Yuhao Ni, Tim August B. Huygelen +4
The harnessing of machine learning, especially deep generative models, has opened up promising avenues in the field of synthetic DNA sequence generation. Whilst Generative Adversar…
cs.LG2023★ 1 cited
Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer
Zehui Li, Akashaditya Das, William A V Beardall +2
Given the increasing volume and quality of genomics data, extracting new insights requires interpretable machine-learning models. This work presents Genomic Interpreter: a novel ar…