Biocview "FlowCytometry"

Advanced analysis of microbial flow cytometry data
A GatingML Interface for Cross Platform Cytometry Data Sharing
A GatingML Interface for Cross Platform Cytometry Data Sharing
Analysis of FACS data for the Jurkat crible project
Analyze flow cytometer data to determine sample ploidy
Analyze flow cytometer data to determine sample ploidy
Analyze flow cytometric data using gate information
Analyze flow cytometric data using histogram information
Annotation and analysis of biological dynamical systems using flow cytometry
Annotation and analysis of biological dynamical systems using flow cytometry
An R package for flow data clustering
A Toolkit for Flow And Mass Cytometry Data
A Toolkit for Flow And Mass Cytometry Data
A Toolkit for Flow And Mass Cytometry Data
A Toolkit for Flow And Mass Cytometry Data
A toolkit for performing KNN-based statistics for flow and mass cytometry data
A toolkit for performing KNN-based statistics for flow and mass cytometry data
Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
Automated Quadratic Characterization of Flow Cytometer Instrument Sensitivity: Q, B and CV instrinsic calculations
Automatic and interactive quality control for flow cytometry data
Automatic and interactive quality control for flow cytometry data
Automatic and interactive quality control for flow cytometry data
C++ infrastructure for representing and interacting with the gated cytometry data
Clustering for Flow Cytometry
Clustering for Flow Cytometry
Cluster Merging for Flow Cytometry Data
Cluster Merging for Flow Cytometry Data
Combinatorial Polyfunctionality Analysis of Single Cells
Combinatorial Polyfunctionality Analysis of Single Cells
Combining multitube flow cytometry data by binning
Computational comparisons of cytometry profiles
Conditional Differential Analysis for Flow and Mass Cytometry Experiments
Convert the GatingSet from Boost serialization to protocol buffer format
cytofast - A quick visualization and analysis tool for CyTOF data
cytofast - A quick visualization and analysis tool for CyTOF data
cytofkit: an integrated mass cytometry data analysis pipeline
cytofkit: an integrated mass cytometry data analysis pipeline
cytofkit: an integrated mass cytometry data analysis pipeline
Cytometry Cluster Hierarchy and Proportions to Parent
Cytometry dATa anALYSis Tools
Cytometry dATa anALYSis Tools
Determination of essential phenotypic elements of clusters in high-dimensional entities
Determination of essential phenotypic elements of clusters in high-dimensional entities
Differential abundance analysis with a right censored covariate in high-dimensional cytometry
Differential discovery in high-dimensional cytometry via high-resolution clustering
Differential discovery in high-dimensional cytometry via high-resolution clustering
distinct: a method for differential analyses via hierarchical permutation tests
Estimate proliferation in cell-tracking dye studies
Fast treatment of MACSQuantify FACS data
Fast treatment of MACSQuantify FACS data
Fingerprinting for Flow Cytometry
Fingerprinting for Flow Cytometry
Fingerprinting for Flow Cytometry
Fingerprinting for Flow Cytometry
flowBeads: Analysis of flow bead data
flowBeads: Analysis of flow bead data
flowClean
flowClean
flowCore: Basic structures for flow cytometry data
flowCore: Basic structures for flow cytometry data
flowLearn
flowPlots: analysis plots and data class for gated flow cytometry data
FlowRepository R Interface
Gaussian mixture modeling for heavy-tailed distributions in Flow Cytometry data
Hierarchical Gating Pipeline for flow cytometry data
Hierarchical Gating Pipeline for flow cytometry data
HIPC Cytometry
HIPC Cytometry
Identifies cell population in flow cytometry data.
Identifying differential cell populations in flow cytometry data accounting for marker frequency
immunoClust - Automated Pipeline for Population Detection in Flow Cytometry
immunological Elastic-Net model, implementation and optimization
Infrastructure for representing and interacting with gated and ungated cytometry data sets.
Infrastructure for representing and interacting with gated and ungated cytometry data sets.
Interactive Cytometry Gating in R
Interactive Cytometry Gating in R
Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test
Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test
Marker Enrichment Modeling (MEM)
Matching and meta-clustering in flow cytometry
Mean Alterations Using Discrete Expression
Merging of phenotype information from different cytometric profiles
MetaCyto: A package for meta-analysis of cytometry data
MetaCyto: A package for meta-analysis of cytometry data
Methods for Continuous Flow Cytometry
Mixture Models for Single-Cell Assays
Mixture Models for Single-Cell Assays
ncdfFlow: A package that provides HDF5 based storage for flow cytometry data.
ncdfFlow: A package that provides HDF5 based storage for flow cytometry data.
Non-parametric Flow Cytometry Data Gating
One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding (OneSENSE)
One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding (OneSENSE)
One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding (OneSENSE)
optimalFlow
optimalFlow
Optimyzed Cellular Hierarchies for Flow Cytometry
Parameter Optimization for Flow Cytometry Data Transformation
Peak-based selection of high quality cytometry data
Peak-based selection of high quality cytometry data
Phenotyping Flow Cytometry Assays
Phytoplankton Population Identification using Cell Pigmentation and/or Complexity
Plots and annotation for choosing BrainFlow target probe sequence
Plots and annotation for choosing BrainFlow target probe sequence
Precise and Accurate Automated Removal of Outlier Events and Flagging of Files Based on Time Versus Fluorescence Analysis
Precise and Accurate Automated Removal of Outlier Events and Flagging of Files Based on Time Versus Fluorescence Analysis
Projection-based Gating Strategy Optimization for Flow and Mass Cytometry
Quality control and standardization of cytometry data
Quality control for flow cytometry
Quality Control of Gated Flow Cytometry Experiments
R bindings for cytolib c++ library
Regression Models with Multivariate Outcomes for Mass Cytometry Experiments
Resampling Collapsed Null Distributions for Simultaneous Inference
Resampling Collapsed Null Distributions for Simultaneous Inference
Resampling Collapsed Null Distributions for Simultaneous Inference
Robust prediction of clinical outcomes using cytometry data without cell gating
Robust prediction of clinical outcomes using cytometry data without cell gating
Routines that don't belong to the core flow packages yet.
scDataviz: single cell dataviz and downstream analyses
scDataviz: single cell dataviz and downstream analyses
scDataviz: single cell dataviz and downstream analyses
Semantic labelling of flow cytometric cell populations
Semantic labelling of flow cytometric cell populations
Sequential Flow Cytometry Data Gating
Sequential Flow Cytometry Data Gating
Sequential Flow Cytometry Data Gating
Shiny app GUI wrapper for ggplot with built-in statistical analysis
Shiny app GUI wrapper for ggplot with built-in statistical analysis
SPADE -- An analysis and visualization tool for Flow Cytometry
SPADE -- An analysis and visualization tool for Flow Cytometry
SPADEVizR: an R package for Visualization, Analysis and Integration of SPADE results
Statistical methods for the analysis of flow cytometry data
Statistical methods for the analysis of flow cytometry data
Statistical tools and data structures for plate-based flow cytometry
Tools for processing of high-dimensional cytometry data
Tools for processing of high-dimensional cytometry data
Using Mass Cytometry for Differential Abundance Analyses
Using Mass Cytometry for Differential Abundance Analyses
Using self-organizing maps for visualization and interpretation of cytometry data
Using self-organizing maps for visualization and interpretation of cytometry data
Using self-organizing maps for visualization and interpretation of cytometry data
Utilities for flow cytometry
Utilities for flow cytometry
Variance stabilization in flow cytometry (and microarrays)
Visualization for flow cytometry
Visualize Cytometry data with ggplot
Visualize Cytometry data with ggplot