davisidarta / dbMAP
A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
☆47Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for dbMAP
- Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces☆39Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆57Updated 3 years ago
- R package for differential discovery analyses in high-dimensional cytometry data☆19Updated 8 months ago
- ☆14Updated 4 years ago
- Bayesian modelling of DNA methylation heterogeneity at single-cell resolution☆20Updated 9 months ago
- Comparison of dimensionality reduction methods☆30Updated 4 years ago
- Volume-regularized NMF☆17Updated 2 years ago
- ☆15Updated 4 years ago
- Short course using RStudio for biological data analysis☆13Updated 2 years ago
- netSmooth: A Network smoothing based method for Single Cell RNA-seq imputation☆27Updated 6 months ago
- Marker Selection by matching manifolds and elastic net☆23Updated last month
- Fast algorithms for GLM-PCA.☆11Updated 3 months ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 2 years ago
- Beta version of 1D t-SNE heatmaps to visualize expression patterns of hundreds of genes simultaneously in scRNA-seq☆48Updated 5 years ago
- Clone of the Bioconductor repository for the zinbwave package, see https://bioconductor.org/packages/zinbwave☆43Updated 8 months ago
- R package: Simulate Expression data from igraph network using mvtnorm (CRAN; JOSS)☆23Updated 2 years ago
- ☆12Updated 5 years ago
- Tools for building and manipulating graphs in Python☆41Updated last year
- A library to simulate single-cell data☆2Updated last year
- 🔬 R package: Analysis of Large Affymetrix Microarray Data Sets☆10Updated 9 months ago
- tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data☆17Updated 5 years ago
- ☆18Updated 7 years ago
- Out-of-Core Principal Component Analysis☆18Updated 6 years ago
- tests for statistical significance of clustering☆36Updated 6 years ago
- Universal RObust Peak Annotator☆15Updated 11 months ago
- Uncovering cell identity genes using differential stability of expression in single cells.☆10Updated 4 months ago
- Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data☆17Updated this week
- Implementation of gene-level rare coding variant association tests targeting allelic series: cases where increasingly deleterious mutatio…☆12Updated this week
- Single sample network reconstruction in R☆21Updated 4 years ago