Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling
Abstract Background The research landscape of single-cell and single-nuclei RNA-sequencing is evolving rapidly. In particular, the area for the detection of rare cells was highly facilitated by this technology. However, an automated, unbiased, and accurate annotation of rare subpopulations is challe...
Guardado en:
Autores principales: | Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/84da11c5e74a475d9c97338ac7622f7c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Caracterización de zonas de riesgo por crecientes de ríos de bajo caudal, para la implementación de un sistema de alertas tempranas (SAT) con tecnología LoRa y LoRaWAN
por: Castillo,Robinson, et al.
Publicado: (2020) -
A Novel Oversampling Method for Imbalanced Datasets Based on Density Peaks Clustering
por: Jie Cao*, et al.
Publicado: (2021) -
HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service
por: Artur Felipe da Silva Veloso, et al.
Publicado: (2021) -
LoRa Enabled Smart Inverters for Microgrid Scenarios with Widespread Elements
por: Babak Arbab-Zavar, et al.
Publicado: (2021) -
Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data
por: Qianhui Huang, et al.
Publicado: (2021)