ouija
Pseudotime inference
A probabilistic framework for inferring pseudotimes from single-cell gene expression data and understanding the underlying regulatory mechanisms.
Descriptive probabilistic marker gene approach to single-cell pseudotime inference
28 stars
6 watching
3 forks
Language: R
last commit: almost 7 years agoLinked from 1 awesome list
bayesian-methodsfactor-analysisgene-expressionsingle-cell
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A tool for inferring genomic trajectories from expression data with environmental and genetic covariates | 10 | |
| Catalogs algorithms for estimating the position of cells in a developmental trajectory from single-cell gene expression data | 412 | |
| Infer bifurcations in single-cell data using Bayesian methods and hierarchical mixture modelling | 5 | |
| A software package that uses Bayesian inference to assign gene expression estimates from single-cell RNA-seq and DNA-seq data to specific cancer clones. | 32 | |
| Infers gene regulatory networks from time-stamped single cell transcriptional expression profiles using a statistical method | 12 | |
| Tools and methods for Bayesian deep learning using probabilistic programming. | 328 | |
| Identifies genes that maintain pseudotime ordering in single-cell RNA-seq data | 38 | |
| Analyzes single-cell RNA-seq data using pseudotemporal ordering and clustering | 12 | |
| A unified framework for probabilistic regression and prediction with Python-based tools. | 250 | |
| A Python framework for Bayesian inference and regression using Gaussian processes. | 24 | |
| A Redis module implementing a probabilistic data structure for efficient membership testing and deletion of items without holding the entire set in memory. | 231 | |
| An R package for estimating the effect of an intervention on time series data | 1,720 | |
| Software tool for analyzing single-cell RNA-seq data | 37 | |
| A repository of statistical modeling materials and resources for an R course on Bayesian inference | 2,018 | |
| Tools for visualizing and analyzing clonal expansion in immune cell populations | 14 |