Cargando…
Improve consensus partitioning via a hierarchical procedure
Consensus partitioning is an unsupervised method widely used in high-throughput data analysis for revealing subgroups and assigning stability for the classification. However, standard consensus partitioning procedures are weak for identifying large numbers of stable subgroups. There are two major is...
Autores principales: | Gu, Zuguang, Hübschmann, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116221/ https://www.ncbi.nlm.nih.gov/pubmed/35289356 http://dx.doi.org/10.1093/bib/bbac048 |
Ejemplares similares
-
netANOVA: novel graph clustering technique with significance assessment via hierarchical ANOVA
por: Duroux, Diane, et al.
Publicado: (2023) -
Genome-wide hierarchical mixed model association analysis
por: Hao, Zhiyu, et al.
Publicado: (2021) -
Consensus clustering of single-cell RNA-seq data by enhancing network affinity
por: Cui, Yaxuan, et al.
Publicado: (2021) -
Self-supervised deep clustering of single-cell RNA-seq data to hierarchically detect rare cell populations
por: Lei, Tianyuan, et al.
Publicado: (2023) -
Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing
por: Lee, Joongho, et al.
Publicado: (2023)