Machine Learning in R
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Updated
Aug 22, 2025 - R
Machine Learning in R
Collection of various algorithms implemented in R.
R Package for Time Series Clustering Along with Optimizations for DTW
Visualise Clusterings at Different Resolutions
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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.
Assessing the purity of single cell population
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).
Tumour stratification by maximum-likelihood repeated evolution from multi-region sequencing data
Structured Graph Learning via Laplacian Spectral Constraints (NeurIPS 2019)
Enrichment Networks for Pathway Enrichment Analysis
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Process and Analyze Mouse-Tracking Data
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
Misc Statistics and Machine Learning codes in R
A R framework for pipeline benchmarking, with application to single-cell RNAseq
simpler single cell RNAseq data clustering
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