Biocview "FlowCytometry"

Advanced analysis of microbial flow cytometry data

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 cytometric data using gate information

Analyze flow cytometric data using histogram information

Analyze High-dimensional Cytometry Data Using Tidy Data Principles

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 performing KNN-based statistics for flow and mass cytometry data

Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions

Automated Quadratic Characterization of Flow Cytometer Instrument Sensitivity: Q, B and CV instrinsic calculations

Automated Removal of Outlier Events and Flagging of Files Based on Time Versus Fluorescence Analysis

Automatic and interactive quality control for flow cytometry data

C++ infrastructure for representing and interacting with the gated cytometry data

Clustering for Flow Cytometry

Cluster Merging for Flow Cytometry Data

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

cytofkit2: an integrated mass cytometry data analysis pipeline. Cytofkit provides functions for data pre-processing, fast clustering, data visualization through linear or non-linear dimensionality reduction, automatic identification of cell subsets, and inference of the relatedness between cell subsets

cytofkit: an integrated mass cytometry data analysis pipeline

Cytometry Cluster Hierarchy and Cellular-to-phenotype Associations

Cytometry dATa anALYSis Tools

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 expression using kernel-based score test

distinct: a method for differential analyses via hierarchical permutation tests

Estimate proliferation in cell-tracking dye studies

Extract Fluorescence Distribution Data from FCS Files and Recalculate to Events per Volume

Fast treatment of MACSQuantify FACS data

Fingerprinting for Flow Cytometry

flowBeads: Analysis of flow bead data

flowClean

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

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.

Interactive Cytometry Gating in R

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

Methods for Continuous Flow Cytometry

Mixture Models for Single-Cell Assays

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)

optimalFlow

Optimyzed Cellular Hierarchies for Flow Cytometry

Parameter Optimization for Flow Cytometry Data Transformation

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

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

Quantification of the Tumor Immune contexture from RNA-seq data

R bindings for cytolib c++ library

Regression Models with Multivariate Outcomes for Mass Cytometry Experiments

Resampling Collapsed Null Distributions for Simultaneous Inference

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

Scifer: Single-Cell Immunoglobulin Filtering of Sanger Sequences

Semantic labelling of flow cytometric cell populations

Sequential Flow Cytometry Data Gating

Shiny app GUI wrapper for ggplot with built-in statistical analysis

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 tools and data structures for plate-based flow cytometry

Tools for processing of high-dimensional cytometry data

Using Mass Cytometry for Differential Abundance Analyses

Using self-organizing maps for visualization and interpretation of cytometry data

Utilities for flow cytometry

Variance stabilization in flow cytometry (and microarrays)

Visualization for flow cytometry

Visualize Cytometry data with ggplot

Biocview "FlowCytometry"

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