Single-cell normalization and association testing unifying CRISPR screen and gene co-expression analyses with Normalisr
Normalisr removes technical bias in single-cell RNA-seq and detects gene differential and coexpression accurately and efficiently. It also infers gene regulatory and co-expression networks from conventional and CRISPR screen single-cell RNA-seq datasets.
Guardado en:
Autor principal: | Lingfei Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d2c84d6dbb2441faae25b2f0c72babe5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
High-resolution characterization of gene function using single-cell CRISPR tiling screen
por: Lu Yang, et al.
Publicado: (2021) -
Model-based understanding of single-cell CRISPR screening
por: Bin Duan, et al.
Publicado: (2019) -
Combinatorial CRISPR screen identifies fitness effects of gene paralogues
por: Nicola A. Thompson, et al.
Publicado: (2021) -
A CRISPR screen identifies genes controlling Etv2 threshold expression in murine hemangiogenic fate commitment
por: Haiyong Zhao, et al.
Publicado: (2017) -
Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies
por: Nicasia Beebe-Wang, et al.
Publicado: (2021)