An R package implementing the UMAP dimensionality reduction method.
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Feb 25, 2025 - R
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dimensionality-reduction
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Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
bootstrap r clustering linear-regression python3 pca-analysis probability-distribution dimensionality-reduction monte-carlo-simulation rejection-sampling importance-sampling regression-analysis data-imputation inverse-transform-method factor-analysis-methods statistcal-tests canonical-correlation
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Apr 16, 2024 - R
Uniform Manifold Approximation and Projection - R package
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Apr 29, 2024 - R
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
bioinformatics statistical-methods data-visualization dimensionality-reduction single-cell-genomics single-cell-rna-seq nonnegative-matrix-factorization single-cell-analysis single-cell-atac-seq
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Aug 2, 2023 - R
R package for single cell and other data analysis using diffusion maps
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Nov 18, 2024 - R
Local Fisher Discriminant Analysis in R
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Jul 7, 2023 - R
A Framework for Dimensionality Reduction in R
visualization quality-control framework r high-dimensional-data dimensionality-reduction manifold-learning
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Jan 26, 2025 - R
Sparse Principal Component Analysis (SPCA) using Variable Projection
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Apr 7, 2018 - R
R package for dimensionality reduction of small datasets
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Jan 3, 2025 - R
R package for Distance Metric Learning
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Jul 7, 2023 - R
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
clustering dimensionality-reduction unsupervised-learning umap hdbscan isolation-forests glrm latent-class-analysis
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Jun 8, 2020 - R
R package for Tools for Handling Extraction of Features from Time series (theft)
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Feb 9, 2025 - R
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
python wrapper bioinformatics dimensionality-reduction tsne forceatlas2 umap dimension-reduction force-directed-graphs wrappers seurat singlecellexperiment singlecellexperiment-objects paga phate opentsne pacmap dimensional-reduction
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Dec 30, 2024 - R
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
r clustering rstudio matrix tidy-data tidyverse data-frame pca imputation dimensionality-reduction data-analysis tidy subset mds tsne combine redundancy tibble permute rotated-dimensions
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Jul 25, 2023 - R
Comparison of dimensionality reduction methods
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Mar 24, 2020 - R
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
machine-learning dimensionality-reduction ensemble-learning outlier-detection chemometrics partial-least-squares-regression
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Dec 21, 2021 - R
ForeCA: Forecastable Component Analysis in R
spectrum time-series signal-processing forecasting dimensionality-reduction blind-source-separation time-series-analysis multivariate-timeseries
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Jul 3, 2020 - R
R package for single-cell RNA-sequencing analysis
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Jun 16, 2021 - R
A Snakemake workflow and MrBiomics module to split, filter, normalize, integrate and select highly variable features of count matrices resulting from next-generation sequencing (NGS) experiments (e.g., RNA-seq, ATAC-seq, ChIP-seq, Methyl-seq, miRNA-seq,...) including confounding factor analysis and diagnostic visualizations.
visualization workflow bioinformatics rna-seq snakemake integration pipeline ngs dimensionality-reduction chip-seq atac-seq normalization biomedical-data-science batch-effect count-matrix confounding-effects
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Feb 19, 2025 - R
Stochastic Neighbor Embedding Experiments in R
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Sep 7, 2024 - R
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