Cargando…
Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data
As high-throughput genomics assays become more efficient and cost effective, their utilization has become standard in large-scale biomedical projects. These studies are often explorative, in that relationships between samples are not explicitly defined a priori, but rather emerge from data-driven di...
Autores principales: | Reed, Eric R, Monti, Stefano |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464061/ https://www.ncbi.nlm.nih.gov/pubmed/34226941 http://dx.doi.org/10.1093/nar/gkab552 |
Ejemplares similares
-
KERA: analysis tool for multi-process, multi-state single-molecule data
por: Tibbs, Joseph, et al.
Publicado: (2021) -
Global transcript structure resolution of high gene density genomes through multi-platform data integration
por: O'Grady, Tina, et al.
Publicado: (2016) -
SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles
por: Xie, Peng, et al.
Publicado: (2019) -
CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data
por: Bae, Sungwoo, et al.
Publicado: (2022) -
exFINDER: identify external communication signals using single-cell transcriptomics data
por: He, Changhan, et al.
Publicado: (2023)