pachterlab / LP_2021Links
☆49Updated 3 months ago
Alternatives and similar repositories for LP_2021
Users that are interested in LP_2021 are comparing it to the libraries listed below
Sorting:
- A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA seq…☆65Updated 2 weeks ago
- VoxHunt: Resolving human brain organoid heterogeneity through single-cell genomic comparison to spatial brain maps☆47Updated last year
- CellANOVA: Cell State Space Analysis of Variance for signal recovery in single cell batch integration☆50Updated 10 months ago
- Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…☆55Updated 3 months ago
- Gene regulatory network containing signed transcription factor-target gene interactions☆87Updated 3 months ago
- Latent Embedding Multivariate Regression☆94Updated 9 months ago
- ☆62Updated 2 years ago
- Bi-order integration (in silico multi-omics data) of single cell RNA sequencing, single cell ATAC sequencing, spacial transcriptomics and…☆36Updated 2 years ago
- characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular dens…☆80Updated 3 years ago
- User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins☆64Updated last week
- A unified interface to spatial transcriptomics deconvolution tools☆42Updated 2 weeks ago
- ☆48Updated 7 years ago
- ☆45Updated 2 months ago
- A method to rapidly assess cell type identity using both functional and random gene sets☆39Updated 8 months ago
- All code associated with manuscript detailing scATAC and scRNA-seq following stimulus of PBMCs☆41Updated 2 years ago
- Quasilinear data representations for single-cell omics data analysis☆42Updated 2 years ago
- Identify genes with spatial expression trends in single-cell gene expression data☆50Updated 7 years ago
- Inference of RNA velocity modules for prediction of cell fates and integration with spatial and regulatory models.☆79Updated 5 months ago
- Single-Cell Clustering Assessment Framework☆105Updated last year
- A R package for integrated scRNA-seq data analysis using the RPCI algorithm☆44Updated last year
- Coarse-graining of large single-cell RNA-seq data into metacells☆88Updated 2 months ago
- Awesome list of tools and methods to perform spatial transcriptomic data analysis.☆45Updated 4 years ago
- ☆41Updated 4 years ago
- NATMI: Network Analysis Toolkit for the Multicellular Interactions☆35Updated 4 years ago
- SIB/Scilifelab autumn school in single cell omics 2019.☆22Updated 5 years ago
- A novel unsupervised batch removal framework, called iMAP, based on neural networks.☆35Updated 3 years ago
- Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).☆85Updated last year
- R package for semi-supervised single-cell data integration☆88Updated last month
- Imputation method for scRNA-seq based on low-rank approximation☆77Updated last year
- Unified access to several second-generation deconvolution methods☆74Updated 2 weeks ago