Cargando…
SCMAG: A Semisupervised Single-Cell Clustering Method Based on Matrix Aggregation Graph Convolutional Neural Network
Clustering analysis is one of the most important technologies for single-cell data mining. It is widely used in the division of different gene sequences, the identification of functional genes, and the detection of new cell types. Although the traditional unsupervised clustering method does not requ...
Autores principales: | Peng, Haonan, Fan, Wei, Fang, Chujie, Gao, Wenliang, Li, Yuanyuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505105/ https://www.ncbi.nlm.nih.gov/pubmed/34646337 http://dx.doi.org/10.1155/2021/6842752 |
Ejemplares similares
-
Semisupervised adversarial neural networks for single-cell classification
por: Kimmel, Jacob C., et al.
Publicado: (2021) -
A Novel Active Semisupervised Convolutional Neural Network Algorithm for SAR Image Recognition
por: Gao, Fei, et al.
Publicado: (2017) -
Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications
por: Qian, Guoqi, et al.
Publicado: (2016) -
Semisupervised Generative Autoencoder for Single-Cell Data
por: Trong, Trung Ngo, et al.
Publicado: (2020) -
A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and k-Nearest Neighbor Graph
por: Zu, Baokai, et al.
Publicado: (2017)