Cargando…
Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction
The secondary structure of proteins is significant for studying the three-dimensional structure and functions of proteins. Several models from image understanding and natural language modeling have been successfully adapted in the protein sequence study area, such as Long Short-term Memory (LSTM) ne...
Autores principales: | Guo, Yuzhi, Wu, Jiaxiang, Ma, Hehuan, Wang, Sheng, Huang, Junzhou |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221033/ https://www.ncbi.nlm.nih.gov/pubmed/35740899 http://dx.doi.org/10.3390/biom12060774 |
Ejemplares similares
-
Micro-Expression-Based Emotion Recognition Using Waterfall Atrous Spatial Pyramid Pooling Networks
por: Stofa, Marzuraikah Mohd, et al.
Publicado: (2022) -
Employing Atrous Pyramid Convolutional Deep Learning Approach for Detection to Diagnose Breast Cancer Tumors
por: Sadeghi Pour, Ehsan, et al.
Publicado: (2023) -
PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation
por: Han, Jubao, et al.
Publicado: (2022) -
DSTEELNet: A Real-Time Parallel Dilated CNN with Atrous Spatial Pyramid Pooling for Detecting and Classifying Defects in Surface Steel Strips
por: Ahmed, Khaled R.
Publicado: (2023) -
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation
por: Artacho, Bruno, et al.
Publicado: (2019)