Mar 11, 2020 · By introducing the “improved Hybrid Multi-label Classifier” and “neighbor score”, a new predictor, called MF-EFP , has been developed that can ...
By introducing the “improved Hybrid Multi-label Classifier” and “neighbor score”, a new predictor, called MF-EFP, has been developed that can be used to deal ...
By introducing the “improved Hybrid Multi-label Classifier” and “neighbor score”, a new predictor, called MF-EFP, has been developed that can be used to ...
Mar 20, 2020 · By introducing the ''improved Hybrid Multi-label Classifier'' and. ''neighbor score'', a new predictor, called MF-EFP, has been developed that ...
This study explores an efficient and effective machine learning method to categorize enzymes according to their function, namely, multi-label classifier, ...
Experiments proved that our 2-layer predictor outperforms other enzyme identification methods in recognizing enzyme sequences and detecting multifunctional ...
Journal Article•DOI · MF-EFP: Predicting Multi-Functional Enzymes Function Using Improved Hybrid Multi-Label Classifier · Xuan Xiao,Li-Wen Duan,Guang-Fu Xue ...
Nov 22, 2023 · A novel evidential deep learning model (named ECPICK) makes trustworthy predictions of enzyme commission (EC) numbers with data-driven domain-relevant evidence.
Xiao, MF-EFP: predicting multi-functional enzymes function using improved hybrid multi-label classifier, IEEE Access, № 8, с. 50276 https://doi.org/10.1109 ...
Jan 22, 2019 · We propose a novel method, mlDEEPre, which is designed specifically for predicting the functionalities of multi-functional enzymes.
Missing: MF- EFP: Hybrid