Cargando…
A Transfer-Learning-Based Deep Convolutional Neural Network for Predicting Leukemia-Related Phosphorylation Sites from Protein Primary Sequences
As one of the most important post-translational modifications (PTMs), phosphorylation refers to the binding of a phosphate group with amino acid residues like Ser (S), Thr (T) and Tyr (Y) thus resulting in diverse functions at the molecular level. Abnormal phosphorylation has been proved to be close...
Autores principales: | He, Jian, Wu, Yanling, Pu, Xuemei, Li, Menglong, Guo, Yanzhi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915183/ https://www.ncbi.nlm.nih.gov/pubmed/35163663 http://dx.doi.org/10.3390/ijms23031741 |
Ejemplares similares
-
Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes
por: Kensert, Alexander, et al.
Publicado: (2019) -
Immune landscape-based machine-learning–assisted subclassification, prognosis, and immunotherapy prediction for glioblastoma
por: Li, Haiyan, et al.
Publicado: (2022) -
Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images
por: Byra, Michał, et al.
Publicado: (2018) -
Bangladeshi Native Vehicle Classification Based on Transfer Learning with Deep Convolutional Neural Network
por: Hasan, Md Mahibul, et al.
Publicado: (2021) -
Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks
por: Sourav, Md Sakib Ullah, et al.
Publicado: (2022)