[HTML][HTML] Improvement of prediction performance with conjoint molecular fingerprint in deep learning

L Xie, L Xu, R Kong, S Chang, X Xu - Frontiers in pharmacology, 2020 - frontiersin.org
The accurate predicting of physical properties and bioactivity of drug molecules in deep
learning depends on how molecules are represented. Many types of molecular descriptors …

Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning

L Xie, L Xu, R Kong, S Chang… - Frontiers in …, 2020 - pubmed.ncbi.nlm.nih.gov
The accurate predicting of physical properties and bioactivity of drug molecules in deep
learning depends on how molecules are represented. Many types of molecular descriptors …

[引用][C] Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning

L Xie, L Xu, R Kong, S Chang, X Xu - Frontiers in Pharmacology …, 2020 - jglobal.jst.go.jp
Algamal ZY Lee MH Al-Fakih AM Aziz M.(2015). High-dimensional QSAR prediction of
anticancer potency of imidazo [4, 5-b] pyridine derivatives using adjusted adaptive LASSO …

[HTML][HTML] Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning

L Xie, L Xu, R Kong, S Chang, X Xu - Frontiers in Pharmacology, 2020 - ncbi.nlm.nih.gov
The accurate predicting of physical properties and bioactivity of drug molecules in deep
learning depends on how molecules are represented. Many types of molecular descriptors …

Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning.

L Xie, L Xu, R Kong, S Chang, X Xu - Frontiers in Pharmacology, 2020 - europepmc.org
The accurate predicting of physical properties and bioactivity of drug molecules in deep
learning depends on how molecules are represented. Many types of molecular descriptors …