MultiPower
Power analyzer
Tools for statistical power analysis in multi-omics experiments
Statistical power studies for multi-omics experiments.
30 stars
8 watching
10 forks
Language: R
last commit: almost 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| An interactive R/Shiny app for analyzing cell-cell communication from single-cell transcriptomics data | 9 |
| Tool for optimizing power consumption using reinforcement learning | 194 |
| An R package that provides a statistical framework for analyzing multi-view data | 3 |
| Analyzes single-cell multi-omics data from various modalities like RNA-seq and ATAC-seq | 16 |
| An R package that facilitates analysis of single-cell RNA-seq data by identifying homogeneous groups of cells. | 110 |
| Tools for power system analysis and optimization | 894 |
| A package for computing asymmetric Shapley values to assess causality in machine learning models | 72 |
| Automated quality control and neuron classification tool for electrophysiology data | 126 |
| Tools for assessing optimal designs for hybrid energy plants | 25 |
| A software toolbox implementing multitaper spectral estimation for EEG analysis in Matlab, Python, and R. | 64 |
| Analyzes and integrates multimodal single-cell sequencing data from different modalities | 19 |
| A toolset for analyzing multiplexed imaging data by applying various machine learning and image processing techniques to segment cells, cluster pixels, and perform spatial analysis. | 78 |
| Tool for integrated analysis of single-cell RNAseq data and immune receptor profiling data | 20 |
| A comprehensive Julia package for multivariate statistical analysis and data reduction techniques. | 379 |
| A Julia toolkit for analyzing high-dimensional cellular profiles | 13 |