Cargando…
Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network
SIMPLE SUMMARY: A deep learning model based on multi-omics data to classify Nottingham prognostic Index score levels. The model represents each omic dataset using 2-dimensional map before integrating all omics maps into the prediction model. The literature confirms the relationship between the extra...
Autores principales: | Zhou, Li, Rueda, Maria, Alkhateeb, Abedalrhman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870306/ https://www.ncbi.nlm.nih.gov/pubmed/35205681 http://dx.doi.org/10.3390/cancers14040934 |
Ejemplares similares
-
Multi-omics Data Integration Model Based on UMAP Embedding and Convolutional Neural Network
por: ElKarami, Bashier, et al.
Publicado: (2022) -
Classification of patients with breast cancer according to Nottingham Prognostic Index highlights significant differences in immunohistochemical marker expression
por: Kurshumliu, Fisnik, et al.
Publicado: (2014) -
Nottingham Prognostic Index in Triple-Negative Breast Cancer: a reliable prognostic tool?
por: Albergaria, André, et al.
Publicado: (2011) -
The prognostic performance of Adjuvant! Online and Nottingham Prognostic Index in young breast cancer patients
por: Lambertini, Matteo, et al.
Publicado: (2016) -
Is Nottingham prognostic index useful after induction chemotherapy in operable breast cancer?
por: Chollet, P, et al.
Publicado: (2003)