nitzanlab / scPrisma
scPrisma is a spectral analysis method, for pseudotime reconstruction, informative genes inference, filtering, and enhancement of underlying cyclic signals
☆17Updated last year
Alternatives and similar repositories for scPrisma:
Users that are interested in scPrisma are comparing it to the libraries listed below
- A set of files to do genomics analysis on python☆18Updated 4 months ago
- ☆15Updated 2 years ago
- Reproducibility code for the manuscript: 'Inferring and perturbing cell fate regulomes in human cerebral organoids☆27Updated last year
- Code for scKINETICS (ISMB 2023)☆21Updated last year
- Spatial reconstruction of dissociated single-cell data☆17Updated last year
- ☆26Updated last year
- a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.☆53Updated 2 weeks ago
- Learning motif contributions to cell transitions using sequence features and graphs.☆28Updated 7 months ago
- CAST package☆33Updated 5 months ago
- Nonnegative spatial factorization for multivariate count data☆57Updated last year
- ☆21Updated 2 years ago
- Spatial Single Cell transcriptomic library☆17Updated 3 months ago
- ☆20Updated last week
- Gene regulatory network inference for RNA velocity and pseudotime data☆25Updated 3 weeks ago
- Bayesian model for RNA velocity estimation of periodic manifolds☆32Updated 9 months ago
- Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…☆26Updated 3 years ago
- Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases☆23Updated 4 months ago
- ☆46Updated last week
- ☆30Updated last week
- ☆24Updated 2 months ago
- Integrating temporal gene expression modalities for trajectory inference and disease prediction☆9Updated 2 years ago
- A modular tool for proportion analysis in single-cell sequencing data☆18Updated 2 months ago
- ☆14Updated last week
- Code for Universal Single-Cell Matching with Unpaired Feature Sets☆21Updated 3 years ago
- Co-accessibility network from single-cell ATAC-seq data. Python code, based on Cicero package (R).☆20Updated 2 months ago
- A python package for chromVAR☆27Updated last year
- Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics☆33Updated this week
- MARIO: single-cell proteomic data matching and integration using both shared and distinct features☆23Updated last year
- Code used to analyze single cell RNA and ATAC sequencing in developing human brain☆33Updated 3 years ago
- Python package for Probe set selection for targeted spatial transcriptomics.☆35Updated 4 months ago