[1]
|
Neural networks for anatomical therapeutic chemical (ATC) classification
Applied Computing and Informatics,
2022
DOI:10.1108/ACI-11-2021-0301
|
|
|
[2]
|
Identifying the kind behind SMILES—anatomical therapeutic chemical classification using structure-only representations
Briefings in Bioinformatics,
2022
DOI:10.1093/bib/bbac346
|
|
|
[3]
|
A model with deep analysis on a large drug network for drug classification
Mathematical Biosciences and Engineering,
2022
DOI:10.3934/mbe.2023018
|
|
|
[4]
|
iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals
Based on Drug Networks, Fingerprints, and Multilayer Perceptron
Current Bioinformatics,
2022
DOI:10.2174/1574893617666220318093000
|
|
|
[5]
|
iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals
Based on Drug Networks, Fingerprints, and Multilayer Perceptron
Current Bioinformatics,
2022
DOI:10.2174/1574893617666220318093000
|
|
|
[6]
|
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Chemometrics and Intelligent Laboratory Systems,
2021
DOI:10.1016/j.chemolab.2021.104250
|
|
|
[7]
|
iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features
International Journal of Peptide Research and Therapeutics,
2021
DOI:10.1007/s10989-021-10170-7
|
|
|
[8]
|
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals
Bioinformatics,
2021
DOI:10.1093/bioinformatics/btab204
|
|
|
[9]
|
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Chemometrics and Intelligent Laboratory Systems,
2021
DOI:10.1016/j.chemolab.2021.104250
|
|
|
[10]
|
iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features
International Journal of Peptide Research and Therapeutics,
2021
DOI:10.1007/s10989-021-10170-7
|
|
|
[11]
|
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals
Bioinformatics,
2021
DOI:10.1093/bioinformatics/btab204
|
|
|