Cargando…
Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer
BACKGROUND: Protein biomarkers play important roles in cancer diagnosis. Many efforts have been made on measuring abnormal expression intensity in biological samples to identity cancer types and stages. However, the change of subcellular location of proteins, which is also critical for understanding...
Autores principales: | Xue, Zhen-Zhen, Wu, Yanxia, Gao, Qing-Zu, Zhao, Liang, Xu, Ying-Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487883/ https://www.ncbi.nlm.nih.gov/pubmed/32907537 http://dx.doi.org/10.1186/s12859-020-03731-y |
Ejemplares similares
-
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers
por: Xue, Zhen-Zhen, et al.
Publicado: (2022) -
Improving Protein Subcellular Location Classification by Incorporating Three-Dimensional Structure Information
por: Wang, Ge, et al.
Publicado: (2021) -
A multiresolution approach to automated classification of protein subcellular location images
por: Chebira, Amina, et al.
Publicado: (2007) -
Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification?
por: Yang, Fan, et al.
Publicado: (2014) -
Automated analysis of images for molecular quantification in immunohistochemistry
por: Guirado, Ramon, et al.
Publicado: (2018)