Cargando…
Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification?
Human protein subcellular location prediction can provide critical knowledge for understanding a protein's function. Since significant progress has been made on digital microscopy, automated image-based protein subcellular location classification is urgently needed. In this paper, we aim to inv...
Autores principales: | Yang, Fan, Xu, Ying-Ying, Shen, Hong-Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4094881/ https://www.ncbi.nlm.nih.gov/pubmed/25050396 http://dx.doi.org/10.1155/2014/429049 |
Ejemplares similares
-
Imbalanced classification for protein subcellular localization with multilabel oversampling
por: Rana, Priyanka, et al.
Publicado: (2022) -
Ensemble of Multiple Classifiers for Multilabel Classification of Plant Protein Subcellular Localization
por: Wattanapornprom, Warin, et al.
Publicado: (2021) -
Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images
por: Huang, Guan-Hua, et al.
Publicado: (2022) -
Multilabel classification: problem analysis, metrics and techniques
por: Charte, Francisco, et al.
Publicado: (2016) -
An Ensemble Multilabel Classification for Disease Risk Prediction
por: Li, Runzhi, et al.
Publicado: (2017)