General and Species-Specific Lysine Acetylation Site Prediction Using a Bi-Modal Deep Architecture
General and Species-Specific Lysine Acetylation Site Prediction Using a Bi-Modal Deep Architecture is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include RNA sequencing, rayon, source code, feature engineering, deep learning, artificial intelligence, DL-lysine, acetylation, machine learning, computational biology, and computer science. The authors propose a new method (named DeepAce) for predicting general and species-specific lysine acetylation sites based on deep neural network.