Sconify
A toolkit for performing KNN-based statistics for flow and mass cytometry data
Bioconductor version: 3.24 · Package version: 1.33.0
This package does k-nearest neighbor based statistics and visualizations with flow and mass cytometery data. This gives tSNE maps"fold change" functionality and provides a data quality metric by assessing manifold overlap between fcs files expected to be the same. Other applications using this package include imputation, marker redundancy, and testing the relative information loss of lower dimension embeddings compared to the original manifold.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Sconify") Details
| Maintainer | Tyler J Burns <burns.tyler@gmail.com> |
| Author | Tyler J Burns |
| License | Artistic-2.0 |
| Downloads rank | 412 |
| Source branch | devel |
| biocViews | FlowCytometry, ImmunoOncology, MultipleComparison, SingleCell, Software, Visualization |
Documentation
- Assessing quality of CyTOF data with KNN
- Step 3: Post-Processing
- Finding Ideal K
- Step 2: The Scone Workflow
- Step 1: Pre-Processing
Download
Follow the installation instructions to use this package in your R session.
| Source package | Sconify_1.33.0.tar.gz |
| Windows binary (x86_64) | Sconify_1.33.0.zip |
| macOS binary (arm64) | Sconify_1.33.0.tgz |
| macOS binary (x86_64) | Sconify_1.33.0.tgz |