mixedCCA
CCA tool
Software package implementing sparse canonical correlation analysis for mixed data types
R package for sparse canonical correlation analysis with mixed data types (continuous, binary, zero-truncated)
20 stars
5 watching
10 forks
Language: R
last commit: about 4 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A tool for analyzing covariance between sequencing datasets using Canonical Correlation Analysis | 0 | |
| An implementation of a method for analyzing high-dimensional datasets by decomposing correlations between multiple variables. | 11 | |
| Analyzes data to identify linear relationships and groups them into clusters | 2 | |
| An R package implementing techniques for analyzing multivariate data relationships | 1 | |
| A Matlab implementation of two-stage kernel canonical correlation analysis for feature selection and multiple component capture in machine learning | 6 | |
| A software project that performs statistical analysis on biological data using Principal Component Correlation Analysis (PCCA) and related methods. | 18 | |
| A comprehensive Julia package for multivariate statistical analysis and data reduction techniques. | 379 | |
| A tool for creating high-quality statistical graphics with support for ANOVA and post-hoc comparisons | 48 | |
| Provides a way to visualize correlation relationships in data | 18 | |
| Tools and methods for analyzing statistical interference using computational Python | 219 | |
| Tool for integrated analysis of single-cell RNAseq data and immune receptor profiling data | 20 | |
| Scripts to generate datasets for an image generation task using Generative Adversarial Networks and deep learning techniques | 37 | |
| A generative model with tractable likelihood and easy sampling, allowing for efficient data generation. | 1,921 | |
| A modular Common Lisp framework for data analysis and visualization | 198 | |
| A tool for calculating mean values from irregularly spaced data points over fixed distances. | 18 |