Biocview "DimensionReduction"

Analysis of RNA-Seq Count Data by Using Multiple Corespondence Analysis
Analysis of RNA-Seq Count Data by Using Multiple Corespondence Analysis
Analysis of RNA-Seq Count Data using Multiple Corespondence Analysis
A package for nonlinear dimension reduction with Isomap and LLE.
A package for nonlinear dimension reduction with Isomap and LLE.
Classes and methods for multi-omics data integration
Classes and methods for multi-omics data integration
Classes and methods for multi-omics data integration
Classes and methods for multi-omics data integration
Clustering of (epigenetic) DNA methylation data using a variational Bayes NMF algorithm
Coordinated Gene Activity in Pattern Sets
Coordinated Gene Activity in Pattern Sets
Coordinated Gene Activity in Pattern Sets
Creates and uses physio spaces as a dimension reduction mapping
Creation and Analysis of Pathway Expression Profiles (PEPs)
Creation and Analysis of Pathway Expression Profiles (PEPs)
cytofkit: an integrated mass cytometry data analysis pipeline
cytofkit: an integrated mass cytometry data analysis pipeline
cytofkit: an integrated mass cytometry data analysis pipeline
cytofkit: an integrated mass cytometry data analysis pipeline
Data-Adaptive Statistics for High-Dimensional Multiple Testing
Data-Adaptive Statistics for High-Dimensional Multiple Testing
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
Fit row-column association models with the negative binomial distribution for the microbiome
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
GENetic EStimation and Inference in Structured samples (GENESIS): Statistical methods for analyzing genetic data from samples with population structure and/or relatedness
Genotype Conditional Association TEST
Genotype Conditional Association TEST
Genotype Conditional Association TEST
Global Test for Counts
Handling Missing Individuals in Multi-Omics Data Integration
Handling Missing Individuals in Multi-Omics Data Integration
Handling Missing Individuals in Multi-Omics Data Integration
Infers biological signatures from gene expression data
Infers biological signatures from gene expression data
Interactive SummarizedExperiment Explorer
Interactive SummarizedExperiment Explorer
Interactive SummarizedExperiment Explorer
Interactive Visualization of RNA-seq Data Using a Principal Components Approach
Interactive Visualization of RNA-seq Data Using a Principal Components Approach
Interactive Visualization of RNA-seq Data Using a Principal Components Approach
interface to python sklearn via Rstudio reticulate
interface to python sklearn via Rstudio reticulate
Logistic Factor Analysis for Categorical Data
Logistic Factor Analysis for Categorical Data
Logistic Factor Analysis for Categorical Data
Matched Interaction across Tissues (MIxT) data analysis
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
Network Centrality Metrics for Elastic-Net Regularized Models
Network smoothing for scRNAseq
Network smoothing for scRNAseq
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)
One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding (OneSENSE)
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
Quality Control for Single-Cell RNA-seq Data
Quality Control for Single-Cell RNA-seq Data
Quality Control for Single-Cell RNA-seq Data
Quality Control for Single-Cell RNA-seq Data
Reconstruction, visualization and analysis of branching trajectories
Reconstruction, visualization and analysis of branching trajectories
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 Consensus Clustering
Single-Cell Consensus Clustering
Single-Cell Consensus Clustering
Testing for association between RNA-Seq and high-dimensional data
Testing for association between RNA-Seq and high-dimensional data
Variable Selection in Finite Mixture of AFT Regression and FMR
Varying-Censoring Aware Matrix Factorization
Visualizations of expressionSet Bioconductor object
Visualizations of expressionSet Bioconductor object
Zero-Inflated Negative Binomial Model for RNA-Seq Data
Zero-Inflated Negative Binomial Model for RNA-Seq Data
Zero-Inflated Negative Binomial Model for RNA-Seq Data