MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data

Lignende værker

• Automatic identification of relevant genes from low-dimensional embeddings of single-cell RNA-seq data
  af: Angerer, Philipp, et al.
  Udgivet: (2020)
• Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy
  af: Strasser, Michael K., et al.
  Udgivet: (2015)
• Single-Cell Gene Expression Profiling and Cell State Dynamics: Collecting Data, Correlating Data Points and Connecting the Dots
  af: Marr, Carsten, et al.
  Udgivet: (2016)
• Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations
  af: Ståhlberg, Anders, et al.
  Udgivet: (2011)
• SCANPY: large-scale single-cell gene expression data analysis
  af: Wolf, F. Alexander, et al.
  Udgivet: (2018)