Showing 6 of total 6 results (show query)
kbroman
qtl:Tools for Analyzing QTL Experiments
Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits. Broman et al. (2003) <doi:10.1093/bioinformatics/btg112>.
Maintained by Karl W Broman. Last updated 7 months ago.
81 stars 12.77 score 2.4k scripts 29 dependents
bioc
flowCore:flowCore: Basic structures for flow cytometry data
Provides S4 data structures and basic functions to deal with flow cytometry data.
Maintained by Mike Jiang. Last updated 5 months ago.
immunooncologyinfrastructureflowcytometrycellbasedassayscpp
10.17 score 1.7k scripts 59 dependentsbioc
flowWorkspace:Infrastructure for representing and interacting with gated and ungated cytometry data sets.
This package is designed to facilitate comparison of automated gating methods against manual gating done in flowJo. This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the flowCore functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.
Maintained by Greg Finak. Last updated 24 days ago.
immunooncologyflowcytometrydataimportpreprocessingdatarepresentationzlibopenblascpp
7.89 score 576 scripts 10 dependentsbioc
CytoML:A GatingML Interface for Cross Platform Cytometry Data Sharing
Uses platform-specific implemenations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.
Maintained by Mike Jiang. Last updated 24 days ago.
immunooncologyflowcytometrydataimportdatarepresentationzlibopenblaslibxml2cpp
30 stars 7.60 score 132 scriptsbioc
ncdfFlow:ncdfFlow: A package that provides HDF5 based storage for flow cytometry data.
Provides HDF5 storage based methods and functions for manipulation of flow cytometry data.
Maintained by Mike Jiang. Last updated 3 months ago.
immunooncologyflowcytometryzlibcpp
7.56 score 96 scripts 11 dependentsbioc
cydar:Using Mass Cytometry for Differential Abundance Analyses
Identifies differentially abundant populations between samples and groups in mass cytometry data. Provides methods for counting cells into hyperspheres, controlling the spatial false discovery rate, and visualizing changes in abundance in the high-dimensional marker space.
Maintained by Aaron Lun. Last updated 5 months ago.
immunooncologyflowcytometrymultiplecomparisonproteomicssinglecellcpp
5.64 score 48 scripts