Cargando…
A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine
The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of this study was to retrieve potential drug target proteins (DTPs) from a collected protein dataset, which represents an overwhelming task of great significance. Previously reported methodologies for this...
Autores principales: | Wang, Qi, Feng, YangHe, Huang, JinCai, Wang, TengJiao, Cheng, GuangQuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409512/ https://www.ncbi.nlm.nih.gov/pubmed/28453576 http://dx.doi.org/10.1371/journal.pone.0176486 |
Ejemplares similares
-
Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles
por: Wang, Yan-Bin, et al.
Publicado: (2018) -
Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification
por: Zhao, Wei, et al.
Publicado: (2017) -
Reliable Fault Diagnosis of Bearings Using an Optimized Stacked Variational Denoising Auto-Encoder
por: Yan, Xiaoan, et al.
Publicado: (2021) -
Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception
por: Jalaeian Zaferani, Effat, et al.
Publicado: (2022) -
Design of Ensemble Stacked Auto-Encoder for Classification of Horse Gaits with MEMS Inertial Sensor Technology
por: Lee, Jae-Neung, et al.
Publicado: (2018)