Cargando…
TOAST: A novel method for identifying topologically associated domains based on graph auto-encoders and clustering()
Topologically associated domains (TADs) play a pivotal role in disease detection. This study introduces a novel TADs recognition approach named TOAST, leveraging graph auto-encoders and clustering techniques. TOAST conceptualizes each genomic bin as a node of a graph and employs the Hi-C contact mat...
Autores principales: | Gong, Haiyan, Zhang, Dawei, Zhang, Xiaotong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562672/ https://www.ncbi.nlm.nih.gov/pubmed/37822562 http://dx.doi.org/10.1016/j.csbj.2023.09.019 |
Ejemplares similares
-
CASPIAN: A method to identify chromatin topological associated domains based on spatial density cluster()
por: Gong, Haiyan, et al.
Publicado: (2022) -
TopDom: an efficient and deterministic method for identifying topological domains in genomes
por: Shin, Hanjun, et al.
Publicado: (2016) -
TOAST: improving reference-free cell composition estimation by cross-cell type differential analysis
por: Li, Ziyi, et al.
Publicado: (2019) -
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
por: Wolf, F. Alexander, et al.
Publicado: (2019) -
Toast
Publicado: (1855)