Cargando…
Efficient weighted univariate clustering maps outstanding dysregulated genomic zones in human cancers
MOTIVATION: Chromosomal patterning of gene expression in cancer can arise from aneuploidy, genome disorganization or abnormal DNA methylation. To map such patterns, we introduce a weighted univariate clustering algorithm to guarantee linear runtime, optimality and reproducibility. RESULTS: We presen...
Autores principales: | Song, Mingzhou, Zhong, Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755420/ https://www.ncbi.nlm.nih.gov/pubmed/32619008 http://dx.doi.org/10.1093/bioinformatics/btaa613 |
Ejemplares similares
-
A comparison of bivariate and univariate QTL mapping in livestock populations
por: Sørensen, Peter, et al.
Publicado: (2003) -
Comparison of F-tests for Univariate and Multivariate Mixed-Effect Models in Genome-Wide Association Mapping
por: Onogi, Akio
Publicado: (2019) -
Continuous univariate distributions /
por: Johnson, Norman Lloyd
Publicado: (1970) -
Univariate discrete distributions
por: Johnson, Norman Lloyd
Publicado: (1992) -
Continuous univariate distributions
por: Johnson, Norman Lloyd
Publicado: (1994)