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...
Saved in:
Main Authors: | Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer |
---|---|
Format: | article |
Language: | EN |
Published: |
BMC
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/84da11c5e74a475d9c97338ac7622f7c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
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
by: Castillo,Robinson, et al.
Published: (2020) -
A Novel Oversampling Method for Imbalanced Datasets Based on Density Peaks Clustering
by: Jie Cao*, et al.
Published: (2021) -
HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service
by: Artur Felipe da Silva Veloso, et al.
Published: (2021) -
LoRa Enabled Smart Inverters for Microgrid Scenarios with Widespread Elements
by: Babak Arbab-Zavar, et al.
Published: (2021) -
Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data
by: Qianhui Huang, et al.
Published: (2021)