Cargando…
Cell-attribute aware community detection improves differential abundance testing from single-cell RNA-Seq data
Variations of cell-type proportions within tissues could be informative of biological aging and disease risk. Single-cell RNA-sequencing offers the opportunity to detect such differential abundance patterns, yet this task can be statistically challenging due to the noise in single-cell data, inter-s...
Autores principales: | Maity, Alok K., Teschendorff, Andrew E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241145/ https://www.ncbi.nlm.nih.gov/pubmed/37277399 http://dx.doi.org/10.1038/s41467-023-39017-z |
Ejemplares similares
-
Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data
por: Teschendorff, Andrew E, et al.
Publicado: (2020) -
Distance covariance entropy reveals primed states and bifurcation dynamics in single-cell RNA-Seq data
por: Luo, Qi, et al.
Publicado: (2022) -
Improved detection of tumor suppressor events in single-cell RNA-Seq data
por: Teschendorff, Andrew E., et al.
Publicado: (2020) -
EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data
por: Teschendorff, Andrew E., et al.
Publicado: (2020) -
Relative Abundance of Transcripts (
RATs): Identifying differential isoform abundance from RNA-seq
por: Froussios, Kimon, et al.
Publicado: (2019)