Cargando…
MSC-CSMC: A multi-objective semi-supervised clustering algorithm based on constraints selection and multi-source constraints for gene expression data
Many clustering techniques have been proposed to group genes based on gene expression data. Among these methods, semi-supervised clustering techniques aim to improve clustering performance by incorporating supervisory information in the form of pairwise constraints. However, noisy constraints inevit...
Autores principales: | Wang, Zeyuan, Gu, Hong, Zhao, Minghui, Li, Dan, Wang, Jia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008853/ https://www.ncbi.nlm.nih.gov/pubmed/36923794 http://dx.doi.org/10.3389/fgene.2023.1135260 |
Ejemplares similares
-
LFSC: A linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes
por: Liu, Qiaoming, et al.
Publicado: (2022) -
Semi-supervised spectral clustering with application to detect population stratification
por: Liu, Binghui, et al.
Publicado: (2013) -
Effective Multi-Object Tracking via Global Object Models and Object Constraint Learning
por: Yoo, Yong-Sang, et al.
Publicado: (2022) -
Multi-Objective Genetic Algorithm for Pseudoknotted RNA Sequence Design
por: Taneda, Akito
Publicado: (2012) -
Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding
por: Wang, Senhong, et al.
Publicado: (2021)