srhaup2/clustering_scRNA: Dimensionality Reduction and Clustering For scRNA Data
This is a project for the class Biostat 615 (Statistical Computing). In this package, we implement dimensionality reduction and clustering techniques to be evaluated on scRNA data. Specifically, we implement sparse PCA, different variants of k-means clustering, and refinements for the EM algorithm for a Gaussian mixture model.
Getting started
Browse package contents
Package details |
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| Author | Spencer Haupert, Boya Jiang, Kailin Wang |
| Maintainer | Spencer Haupert <srhaup@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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