MrVI Quick Start Tutorial — scvi-tools
MrVI (Multi-resolution Variational Inference) is a model for analyzing multi-sample single-cell RNA-seq data. This tutorial will guide you through the main features of MrVI. MrVI is particularly suited for single-cell RNA sequencing datasets with …
MrVI Quick Start Tutorial
MrVI (Multi-resolution Variational Inference) is a model for analyzing multi-sample single-cell RNA-seq data. This tutorial will guide you through the main features of MrVI....
YosefLab/mrvi_archive: Multi-resolution Variational Inference
Multi-resolution Variational Inference (MrVI) is a package for analysis of sample-level heterogeneity in multi-site, multi-sample single-cell omics data. Built with scvi-tools. To install, run: mrvi.MrVI follows the same API used in scvi-tools.
MrVI — scvi-tools - Project name not set
MrVI [1] (Multi-resolution Variational Inference; Python class MRVI) is a deep generative model designed for the analysis of large-scale single-cell transcriptomics data with multi-sample, multi-batch experimental designs.
Multi-resolution Variational Inference - GitHub
Multi-resolution Variational Inference (MrVI) is a package for analysis of sample-level heterogeneity in multi-site, multi-sample single-cell omics data. Built with scvi-tools. \n
scvi-tools/docs/user_guide/models/mrvi.md at main - GitHub
It can capture nonlinear and cell-type specific variation of sample-level covariates on gene expression. MrVI takes as input a scRNA-seq gene expression matrix $X$ with $N$ cells and $G$ genes. Additionally, it requires specification, for each cell $n$:
scvi.external.MRVI — scvi-tools
MRVI. compute_local_statistics (reductions, adata = None, indices = None, batch_size = None, use_vmap = True, norm = 'l2', mc_samples = 10) [source] # Compute local statistics from counterfactual sample representations. Local statistics are reductions over either the local counterfactual latent representations or the resulting local sample ...
MrVI input and interpretation - scvi-tools - scverse
2022年11月5日 · MrVI would be great for grouping transcriptomic perturbations or samples via the distances. Subsequently, you could take the grouped samples, and do DE analysis across the groups for different cell types of interest.
mrvi - PyPI
2024年5月13日 · There are several alternative options to install mrvi: While a more comprehensive user guide is in the works, you can find here a brief overview of the main features of mrvi. Data preparation: MrVI relies on scvi-tools routines for model initialization and training. In particular, mrvi assumes data to be stored in an AnnData object.
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