scID Uses Discriminant Analysis to Identify Transcriptionally Equivalent Cell Types across Single-Cell RNA-Seq Data with Batch Effect

Lignende værker

• scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment
  af: Fei, Teng, et al.
  Udgivet: (2020)
• Single-cell RNA sequencing of human breast tumour-infiltrating immune cells reveals a γδ T-cell subtype associated with good clinical outcome
  af: Boufea, Katerina, et al.
  Udgivet: (2020)
• Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets
  af: Pont, Frédéric, et al.
  Udgivet: (2019)
• Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench
  af: Chazarra-Gil, Ruben, et al.
  Udgivet: (2021)
• Integrative analysis of scRNA-seq and scATAC-seq revealed transit-amplifying thymic epithelial cells expressing autoimmune regulator
  af: Takahisa MIyao, et al.
  Udgivet: (2022-05-01)