Cargando…
Improving Compound Activity Classification via Deep Transfer and Representation Learning
[Image: see text] Recent advances in molecular machine learning, especially deep neural networks such as graph neural networks (GNNs), for predicting structure–activity relationships (SAR) have shown tremendous potential in computer-aided drug discovery. However, the applicability of such deep neura...
Autores principales: | Dey, Vishal, Machiraju, Raghu, Ning, Xia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945064/ https://www.ncbi.nlm.nih.gov/pubmed/35350358 http://dx.doi.org/10.1021/acsomega.1c06805 |
Ejemplares similares
-
Face mask detection and classification via deep transfer learning
por: Su, Xueping, et al.
Publicado: (2021) -
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models
por: Alam, Minhaj Nur, et al.
Publicado: (2023) -
Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification
por: Ribeiro, Eduardo, et al.
Publicado: (2016) -
Deep Learning-Based Transfer Learning for Classification of Skin Cancer
por: Jain, Satin, et al.
Publicado: (2021) -
Multimodal deep representation learning for protein interaction identification and protein family classification
por: Zhang, Da, et al.
Publicado: (2019)