A High Accurate Machine Learning Meta-Strategy for the Prediction of Intrinsically Disorder Proteins
Chengbin Hu, Yiru Qin, Chuan Ye, Jiao Jin, Ting Zhou, Zhixu He, Liping Shu
The paper proposes a machine learning meta-strategy to improve the prediction of intrinsically disordered proteins, achieving 93.35% single amino acid accuracy and 95.62% whole protein prediction.
bioRxiv · May 18, 2020 · PreprintBioinformatics