Biocview "SingleCell"

10X Genomics Chromium
10X Genomics Chromium
10X Genomics Chromium
10X Genomics Chromium
A/B compartment inference from scRNA-seq, scATAC-seq and methylation array data
Access matrix-like HDF5 server content or BigQuery content through a SummarizedExperiment interface
Access matrix-like HDF5 server content or BigQuery content through a SummarizedExperiment interface
Access matrix-like HDF5 server content or BigQuery content through a SummarizedExperiment interface
Acid Genomics Single Cell Experiment
A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)
A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)
A correlation-based method for quality filtering of single-cell RNAseq data
Adaptive Dropout Imputer (ADImpute)
Adaptive Dropout Imputer (ADImpute)
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq
AIPS : Absolute Inference of Patient Signatures
An alignment and integration method for single cell genomics
An alignment and integration method for single cell genomics
Analysis of Copy Number Variation in Single-Cell-Sequencing Data
Analysis of Copy Number Variation in Single-Cell-Sequencing Data
Analysis of single-cell epigenomics datasets with a Shiny App
Analysis of single-cell epigenomics datasets with a Shiny App
Analyze gene therapy vector insertion sites data identified from genomics next generation sequencing reads for clonal tracking studies
Analyze gene therapy vector insertion sites data identified from genomics next generation sequencing reads for clonal tracking studies
A normalization and copy number estimation method for single-cell DNA sequencing
A normalization and copy number estimation method for single-cell DNA sequencing
An R interface for computational modeling of tumor progression
An R interface for computational modeling of tumor progression
An R package for quantitative integration and analysis of multiple omics assays from heterogeneous samples
An R package for quantitative integration and analysis of multiple omics assays from heterogeneous samples
A package to extract spatial features based on multiplex IF images
A package to extract spatial features based on multiplex IF images
A package to extract spatial features based on multiplex IF images
ascend - Analysis of Single Cell Expression, Normalisation, and Differential expression
A search tool for single cell RNA-seq data by gene lists
A search tool for single cell RNA-seq data by gene lists
Assigning scRNA-seq to clone-of-origin using copy number from ultra-low-depth scDNA-seq
A Supervised Approach for **P**r**e**dicting **c**ell Cycle Pr**o**gression using scRNA-seq data
A Supervised Approach for Predicting Cell Cycle Progression Using Single-Cell RNA-seq Data
ATACtion is the ACTIONet extension for sc/sn-ATAC-seq data analysis
A tool for unsupervised projection of single cell RNA-seq data
A tool for unsupervised projection of single cell RNA-seq 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
A toolkit for single-cell immune receptor profiling
A toolkit for single-cell immune receptor profiling
AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures)
AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures)
Augmented functionality for analysis of epigenomic variance
Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
Augmenting Massively Parallel Cytometry Experiments Using Multivariate Non-Linear Regressions
Automated, probabilistic assignment of scRNA-seq to cell types
Automatic calculation of literature relevance of genes
Automatic calculation of literature relevance of genes
Automatic calculation of literature relevance of genes
Automatic calculation of literature relevance of genes
Bayesian Analysis of Single-Cell Sequencing data
Bayesian Analysis of Single-Cell Sequencing data
Bayesian clustering and imputationa of single cell methylomes
Bayesian clustering and imputationa of single cell methylomes
Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations
Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations
Bayesian modelling of cell-to-cell DNA methylation heterogeneity
bcbio Single-Cell RNA-Seq
bcbio Single-Cell RNA-Seq
BEARscc (Bayesian ERCC Assesstment of Robustness of Single Cell Clusters)
BEARscc (Bayesian ERCC Assesstment of Robustness of Single Cell Clusters)
Browse the Human Cell Atlas data portal
Browse the Human Cell Atlas data portal
Cancer Clone Finder
Cancer Clone Finder
Casc
Category encoding method for selecting feature genes for the classification of single-cell RNA-seq
Category encoding method for selecting feature genes for the classification of single-cell RNA-seq
CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data
CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data
Cell Signalling Using Single Cell RNAseq Data Analysis
Cell Signalling Using Single Cell RNAseq Data Analysis
Cell type annotation for unannotated single-cell RNA-Seq data
Cell type annotation for unannotated single-cell RNA-Seq data
CEllular Latent Dirichlet Allocation
CEllular Latent Dirichlet Allocation
CEllular Latent Dirichlet Allocation
Cepo for the identification of differentially stable genes
Chromatin Variation Across Regions
Chromatin Variation Across Regions
CIMICE-R: (Markov) Chain Method to Inferr Cancer Evolution
CiteFuse: multi-modal analysis of CITE-seq data
CiteFuse: multi-modal analysis of CITE-seq data
Classifier for Single-cell RNA-seq Using Cell Clusters
Classifier for Single-cell RNA-seq Using Cell Clusters
Classifier for Single-cell RNA-seq Using Cell Clusters
Classifier for Single-cell RNA-seq Using Cell Clusters
Classifier for Single-cell RNA-seq Using Cell Clusters
Clone Identification from Single Cell Data
Clone Identification from Single Cell Data
Clustering Algorithms for Bioconductor
Clustering Algorithms for Bioconductor
Clustering and Resolution Enhancement of Spatial Transcriptomes
Clustering and Resolution Enhancement of Spatial Transcriptomes
Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis
Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis
Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis
Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis
Compare Characteristic Features of Count Data Sets
Compare Characteristic Features of Count Data Sets
Compare Clusterings for Single-Cell Sequencing
Compare Clusterings for Single-Cell Sequencing
Compare Clusterings for Single-Cell Sequencing
Comprehensive Analysis of Gene Interactivity Networks Based on Single-Cell RNA-Seq
Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data
Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data
Compute cell-type specific enrichments with high resolution
Conditional Differential Analysis for Flow and Mass Cytometry Experiments
Condition Comparison in scRNA-seq Data
Condition Comparison in scRNA-seq Data
Conversion Between scRNA-seq Objects
Conversion Between scRNA-seq Objects
Correspondence Analysis for Single Cell Data
Correspondence Analysis for Single Cell Data
Cytometry Cluster Hierarchy and Proportions to Parent
Cytometry dATa anALYSis Tools
Cytometry dATa anALYSis Tools
Data structures, clustering and testing for single cell immune receptor repertoires (scRNAseq RepSeq/AIRR-seq)
Deconvolution of Bulk Sequencing Experiments using Single Cell Data
Density-Preserving Data Visualization via Non-Linear Dimensionality Reduction
DEsingle for detecting three types of differential expression in single-cell RNA-seq data
DEsingle for detecting three types of differential expression in single-cell RNA-seq data
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition
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 Abundant Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data
Differential cell type change analysis using Logistic/linear Regression
Differential cell-type-specific allelic imbalance
Differential discovery in high-dimensional cytometry via high-resolution clustering
Differential discovery in high-dimensional cytometry via high-resolution clustering
Differential expression analysis and model fitting for single-cell RNA-seq data
Differential expression analysis and model fitting for single-cell RNA-seq data
Differential Gene Expression Analysis for Multi-subject scRNA-seq
Differential Gene Expression Analysis for Multi-subject scRNA-seq
Differential neighbourhood abundance testing on a graph
Differential neighbourhood abundance testing on a graph
Differential Topology, Progression and Differentiation
distinct: a method for differential analyses via hierarchical permutation tests
Dual redundant reference sequencing
Dual redundant reference sequencing
Easy single cell analysis platform for enrichment
Easy single cell analysis platform for enrichment
Evaluate Cellspecific Mixing
Evaluate Cellspecific Mixing
Exploratory Analysis of ATAC-seq data
exploratory data analysis of tabula muris droplet counts
Exploring the Human Cell Atlas Data Coordinating Platform
Expression Weighted Celltype Enrichment
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data
Fast and accurate scRNA-seq cell type identification
Fast and accurate scRNA-seq cell type identification
Fast Correlation Based Filter for Feature Selection
Fast Correlation Based Filter for Feature Selection
Fast, Sensitive, and Accurate Integration of Single Cell Data
FCBF-based Co-Expression Networks for Single Cells
FCBF-based Co-Expression Networks for Single Cells
FCBF-based Co-Expression Networks for Single Cells
FEAture SelcTion (FEAST) for Single-cell clustering
Find breakpoints in Strand-seq data
Find breakpoints in Strand-seq data
Find breakpoints in Strand-seq data
Fishpond: differential transcript and gene expression with inferential replicates
Fishpond: differential transcript and gene expression with inferential replicates
Fit a Gamma-Poisson Generalized Linear Model
Fit a Gamma-Poisson Generalized Linear Model
Flexible, probabilistic metrics for quality control of scRNA-seq data
Functional interpretation of single cell RNA-seq latent manifolds
Functional interpretation of single cell RNA-seq latent manifolds
Functions for analyzing spatial transcriptomics data
Functions to conduct quality control analysis in methylation data
Functions to conduct quality control analysis in methylation data
Generate QC Reports For Alevin Output
Generate QC Reports For Alevin Output
Generating Tree Hierarchy Visualizations from Gene Expression Data
Generating Tree Hierarchy Visualizations from Gene Expression Data
GenoMetric Query Language for R/Bioconductor
GenoMetric Query Language for R/Bioconductor
Genomic trajectories with heterogeneous genetic and environmental backgrounds
HDF5 backend for DelayedArray objects
HDF5 backend for DelayedArray objects
Heterogeneity-Induced Pre-Processing tOol
Heterogeneity-Induced Pre-Processing tOol
Hexbin plots for single cell omics data
Hexbin plots for single cell omics data
Higher-order chromatin domain inference in single cells from scRNA-seq and scATAC-seq
Identify genes associated with multiple expression phenotypes in single-cell CRISPR screening data
Identify genes associated with multiple expression phenotypes in single-cell CRISPR screening data
ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data
ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data
ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data
immunoClust - Automated Pipeline for Population Detection in Flow Cytometry
Improving replicability in single-cell RNA-Seq cell type discovery
Improving replicability in single-cell RNA-Seq cell type discovery
Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data
Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data
Infer Copy Number Variation from Single-Cell RNA-Seq Data
Infer Copy Number Variation from Single-Cell RNA-Seq Data
Infer Copy Number Variation from Single-Cell RNA-Seq Data
Inference of Chromosome-length Haplotypes using Genomic Data of Single Gamete Cells
Inference of Chromosome-Length Haplotypes Using Genomic Data of Single Gamete Cells
Inferring unobserved perturbations from gene expression data
In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data
In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data
Interactive Analysis of Single Cell RNA-Seq Data
Interactive SummarizedExperiment Explorer
Interactive SummarizedExperiment Explorer
Interactive SummarizedExperiment Explorer
Interactive SummarizedExperiment Explorer
Interactive visualization of scRNA-seq data with Cerebro
InterCellar: an R-Shiny app for interactive exploration of cell-cell interactions
Interpretable marker-based single-cell pseudotime using Bayesian parametric models
Interpretable marker-based single-cell pseudotime using Bayesian parametric models
Introduction to Tidy Transcriptomics
Introduction to Tidy Transcriptomics
Introduction to Tidy Transcriptomics
Introduction to Tidy Transcriptomics
iSEE Universe
iSEE Universe
iSEE Universe
iSMNN: Batch Effect Correction for Single-cell RNA-seq data via Iterative Supervised Mutual Nearest Neighbor Refinement
kallisto | bustools R utilities
kallisto | bustools R utilities
kallisto | bustools R utilities
Landscape Single Cell Entropy
Large-scale single-cell RNA-seq data manipulation with GDS files
Learn and Apply Cell Type Signatures
Learn and Apply Cell Type Signatures
Linear model and normality based normalization and transformation method (Linnorm)
Longitudinal Analysis of Cancer Evolution (LACE)
Longitudinal Analysis of Cancer Evolution (LACE)
LoomExperiment container
LoomExperiment container
Manipulate Zarr archives as R objects
Mapping, quantification and variant analysis of sequencing data
Mass Spectrometry-Based Single-Cell Proteomics Data Analysis
Mass Spectrometry-Based Single-Cell Proteomics Data Analysis
Merging of phenotype information from different cytometric profiles
Methods for Single-Cell RNA-Seq Data Analysis
Methods for Single-Cell RNA-Seq Data Analysis
Mine Associated Gene Expressions (from single-cell Rna Seq data)
Mini-batch K-means Clustering for Single-Cell RNA-seq
Mini-batch K-means Clustering for Single-Cell RNA-seq
Minimized Single-Cell Consensus Clustering
Minimized Single-Cell Consensus Clustering
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
Mixture Nested Effects Models
Mixture Nested Effects Models
MLG Clustering
Model-based Analysis of Single Cell Transcriptomics
Model-based Analysis of Single Cell Transcriptomics
Model higher-order methylation profiles
Model higher-order methylation profiles
Modeling expression drop-out for analysis of scRNA-Seq data
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
Multi-Contrast Gene Set Enrichment Analysis
Multi-Contrast Gene Set Enrichment Analysis
Multi-Contrast Gene Set Enrichment Analysis
Multi-Modal Single-Cell Analysis Methods
Multi-sample multi-group scRNA-seq data analysis tools
Multi-sample multi-group scRNA-seq data analysis tools
Multi-sample multi-group scRNA-seq data analysis tools
Negative binomial model for scRNA-seq
Negative binomial model for scRNA-seq
Network smoothing for scRNAseq
Network smoothing for scRNAseq
Normalization of Single-Cell mRNA Sequencing Data
Normalization of single cell RNA-seq data
Normalization of single cell RNA-seq data
OmniPath web service client and more
ontological exploration of scRNA-seq of 1.3 million mouse neurons from 10x genomics
ontological exploration of scRNA-seq of 1.3 million mouse neurons from 10x genomics
PCAtools: Everything Principal Components Analysis
PCAtools: Everything Principal Components Analysis
PhantomPurgeR
Phenotypic EMD for comparison of single-cell samples
Phenotypic EMD for comparison of single-cell samples
Phenotypic EMD for comparison of single-cell samples
pipeline for single cell RNA-seq data analysis
pipeline for single cell RNA-seq data analysis
PolyA counting and differential transcript usage analysis for scRNA-seq data
Precict cis-co-accessibility from single-cell chromatin accessibility data
Precict cis-co-accessibility from single-cell chromatin accessibility data
Precict cis-co-accessibility from single-cell chromatin accessibility data
Pretrained learning models for cell type prediction on single cell RNA-sequencing data
Rank Constrained Similarity Learning for single cell RNA sequencing data
Rank Constrained Similarity Learning for Single Cell RNA Sequencing Data
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations
Reconstruction, visualization and analysis of branching trajectories
Reconstruction, visualization and analysis of branching trajectories
Reconstruction, visualization and analysis of branching trajectories
Reference-Based Single-Cell RNA-Seq Annotation
Reference-Based Single-Cell RNA-Seq Annotation
Regression Models with Multivariate Outcomes for Mass Cytometry Experiments
Run `magic-impute` on scRNA Seq dataset in R
R wrapper for the python openTSNE library
R wrapper for the python openTSNE library
S4 Classes for Single Cell Data
S4 Classes for Single Cell Data
S4 Classes for Single Cell Data
S4 Class for segmented spatial 'omics data
S4 Class for Spatial Experiments handling
S4 Class for Spatial Experiments handling
S4 Class for Spatial Experiments handling
SAFE-clustering:Single-cell Aggregated (From Ensemble) Clustering for Single-cell RNA-seq Data
SAME: Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble for Single-cell RNA-seq Data
Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell RNA-sequencing Applications
Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell RNA-sequencing Applications
Scaling normalization based on the Pareto distribution
scClassify: single-cell Hierarchical Classification
scClassify: single-cell Hierarchical Classification
scDataviz: single cell dataviz and downstream analyses
scDataviz: single cell dataviz and downstream analyses
scDataviz: single cell dataviz and downstream analyses
scDblFinder
scDblFinder
SCENIC (Single Cell rEgulatory Network Inference and Clustering)
scMerge: Merging multiple batches of scRNA-seq data
scMerge: Merging multiple batches of scRNA-seq data
scRecover for imputation of single-cell RNA-seq data
scRecover for imputation of single-cell RNA-seq data
scRecover for imputation of single-cell RNA-seq data
scRMD: Imputation for single cell RNA-seq data via robust matrix decomposition
scRMD: Imputation for single cell RNA-seq data via robust matrix decomposition
ScRNA-seq Workflow CONCLUS - From CONsensus CLUSters To A Meaningful CONCLUSion
Semi-parametric simulation tool for bulk and single-cell RNA sequencing data
Semi-parametric simulation tool for bulk and single-cell RNA sequencing data
SIMLR: Single-cell Interpretation via Multi-kernel LeaRning
Simple Simulation of Single-cell RNA Sequencing Data
Simple Simulation of Single-cell RNA Sequencing Data
Simple Simulation of Single-cell RNA Sequencing Data
Simple Simulation of Single-cell RNA Sequencing Data
Simple Simulation of Single-cell RNA Sequencing Data
Simulation, power evaluation, and sample size recommendation for single cell RNA-seq
SINCE - a robust algorithm for single-cell number of clusters estimation
Single-cell analysis toolkit for gene expression data in R
Single-Cell Analysis Toolkit for Gene Expression Data in R
Single-Cell Analysis Toolkit for Gene Expression Data in R
Single-Cell Analysis Toolkit for Gene Expression Data in R
Single-Cell Analysis Toolkit for Gene Expression Data in R
Single-Cell Batch Correction Methods
Single-Cell Batch Correction Methods
Single-Cell Consensus Clustering
Single-Cell Consensus Clustering
Single-Cell Data Visualisation Using Kernel Gene-Weighted Density Estimation
Single-Cell Data Visualisation Using Kernel Gene-Weighted Density Estimation
Single-Cell Data Visualisation Using Kernel Gene-Weighted Density Estimation
Single Cell Entropy
single-cell higher order testing
single-cell higher order testing
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
Single-Cell Operation for Neat Enrichment
Single Cell Overview of Normalized Expression data
Single Cell Overview of Normalized Expression data
Single cell replicability analysis
Single cell replicability analysis
Single-Cell RNA-Seq Analysis Utilities
Single-Cell RNA-Seq Analysis Utilities
Single-cell RNAseq cell cluster labelling by reference
Single-cell RNAseq cell cluster labelling by reference
Single-cell RNA-seq toolkit
Single-cell RNA-seq toolkit
Single-cell RNA-seq toolkit
Single-cell RNA sequencing data normalization
Single-cell RNA sequencing data normalization
Single Cell RNA-Seq UMI Filtering Facilitator (scruff)
Single Cell RNA-Seq UMI Filtering Facilitator (scruff)
Single Cell RNA-Seq UMI Filtering Facilitator (scruff)
Single Cell RNA-Seq UMI Filtering Facilitator (scruff)
Single Cell RNA-Seq UMI Filtering Facilitator (scruff)
Single Cell RNA-Seq UMI Filtering Facilitator (scruff)
Single-Cell RNA-Seq Utilities
Single-Cell RNA-Seq Utilities
Single Cell Shiny Application for Analysing Single Cell Transcriptomics Data
Single-Cell Trajectory Analysis Utilities
Small-Count Analysis Methods for High-Dimensional Data
Small-Count Analysis Methods for High-Dimensional Data
SMNN: Batch Effect Correction for Single-cell RNA-seq data with Supervised Mutual Nearest Neighbor Detection
Spatial analysis of in situ cytometry data
Spatial analysis of in situ cytometry data
spatialHeatmap
spatialHeatmap
Spatial Reconstruction of Tissues from scRNA-seq Data
Spatial Transcriptomics Analysis
Spatial Transcriptomics Analysis
Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site
Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site
Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
Structure Learning for Count Data
Survival of patients using ors on TCGA data
Switch-like differential expression across single-cell trajectories
Switch-like differential expression across single-cell trajectories
Targeted scRNA-seq primer design for TAP-seq
Targeted scRNA-seq primer design for TAP-seq
This Package Discovers Directionality in Time and Pseudo-times Series of Gene Expression Patterns
Toolkit for Single-Cell Velocity
Toolkit for Single-Cell Velocity
Tools for matrices with precision weights, test and explore weighted or sparse data
Tools for matrices with precision weights, test and explore weighted or sparse data
Tools for ordering single-cell sequencing
Tools for ordering single-cell sequencing
Tools for processing of high-dimensional cytometry data
Tools for processing of high-dimensional cytometry data
trajectory-based differential expression analysis for sequencing data
trajectory-based differential expression analysis for sequencing data
Transcript Quantification Import with Automatic Metadata
Transcript Quantification Import with Automatic Metadata
Tree Aggregation
TRONCO, an R package for TRanslational ONCOlogy
TRONCO, an R package for TRanslational ONCOlogy
Unbiased Extraction of Single Cell gene signatures using Multiple Correspondence Analysis
Unbiased Extraction of Single Cell Identity using Multiple Correspondence Analysis
Unbiased Extraction of Single Cell Identity using Multiple Correspondence Analysis
Unbiased Extraction of Single Cell Identity using Multiple Correspondence Analysis
User Friendly Single-Cell and Bulk RNA Sequencing Visualization
User Friendly Single-Cell and Bulk RNA Sequencing Visualization
User Friendly Single-Cell and Bulk RNA Sequencing Visualization
Using Mass Cytometry for Differential Abundance Analyses
Using Mass Cytometry for Differential Abundance Analyses
Utilities for Handling Single-Cell Droplet Data
Utilities for Handling Single-Cell Droplet Data
Varying-Censoring Aware Matrix Factorization
Visualization functions for spatially resolved transcriptomics data
Visualization of highly multiplexed imaging data in R
Visualization of highly multiplexed imaging data in R
Visualization of highly multiplexed imaging data in R
Visualization of Methylation Data
What the Package Does TODOELI
Wind: weighted indexes for clustering evaluation
Zero-Inflated Negative Binomial Model for RNA-Seq Data
Zero-Inflated Negative Binomial Model for RNA-Seq Data