Cargando…
Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments
Single-cell RNA sequencing (scRNA-seq) has become ubiquitous in biology. Recently, there has been a push for using scRNA-seq snapshot data to infer the underlying gene regulatory networks (GRNs) steering cellular function. To date, this aspiration remains unrealized due to technical and computationa...
Autores principales: | Raharinirina, N. Alexia, Peppert, Felix, von Kleist, Max, Schütte, Christof, Sunkara, Vikram |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441581/ https://www.ncbi.nlm.nih.gov/pubmed/34553172 http://dx.doi.org/10.1016/j.patter.2021.100332 |
Ejemplares similares
-
Higher order moments of the estimated tangency portfolio weights
por: Javed, Farrukh, et al.
Publicado: (2020) -
Inferring Temporal Information from a Snapshot of a Dynamic Network
por: Sreedharan, Jithin K., et al.
Publicado: (2019) -
Higher-order estimates of the chromomagnetic moment of a heavy quark
por: Grozin, A G, et al.
Publicado: (1997) -
Quantifying non-ergodicity of anomalous diffusion with higher order moments
por: Schwarzl, Maria, et al.
Publicado: (2017) -
Developing a crisis model based on higher-order moments
por: Ivanyuk, Vera
Publicado: (2022)