Cargando…
DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection
BACKGROUND: Single-cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing deep cell-specific information, the method suffers from technical constraints, most notably a limited number of expressed genes per cell, which leads t...
Autores principales: | Hausmann, Fabian, Ergen, Can, Khatri, Robin, Marouf, Mohamed, Hänzelmann, Sonja, Gagliani, Nicola, Huber, Samuel, Machart, Pierre, Bonn, Stefan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510283/ https://www.ncbi.nlm.nih.gov/pubmed/37730638 http://dx.doi.org/10.1186/s13059-023-03049-x |
Ejemplares similares
-
Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks
por: Marouf, Mohamed, et al.
Publicado: (2020) -
Discernment
Publicado: (1878) -
T(H)17 Cell and Epithelial Cell Crosstalk during Inflammatory Bowel Disease and Carcinogenesis
por: Kempski, Jan, et al.
Publicado: (2017) -
Commentary: Discerning the porhyrias!
por: Murugan, S Bala
Publicado: (2018) -
A disCERNing grid
por: Ahuja, A
Publicado: (2000)