rikenbit / nnTensor
R package for Non-negative Tensor Decomposition
☆14Updated 4 months ago
Related projects: ⓘ
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 2 years ago
- A Library for Denoising Single-Cell Data with Random Matrix Theory☆36Updated last year
- A toolbox for sparse contrastive principal component analysis☆12Updated 7 months ago
- Source code for integrative nonnegative matrix factorization☆16Updated 6 years ago
- DYNamics Agnostic Network MOdels☆18Updated 6 years ago
- This is a read-only mirror of the CRAN R package repository. SNFtool — Similarity Network Fusion☆18Updated 3 years ago
- Imputation of single cell RNA-sequencing data with autoencoder☆15Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆56Updated 3 years ago
- Volume-regularized NMF☆17Updated 2 years ago
- False discovery rate regression☆10Updated 3 years ago
- Zero-inflated mixture model for single-cell data.☆14Updated 8 years ago
- Sparse Canonical Correlation Analysis (sCCA)☆18Updated 2 years ago
- tests for statistical significance of clustering☆35Updated 5 years ago
- Graph regularized nonnegative matrix factorization (GNMF) in Python☆45Updated 4 years ago
- Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data☆17Updated 8 months ago
- Various Ideas for Confounder Adjustment in Regression☆23Updated last year
- Comparison of dimensionality reduction methods☆30Updated 4 years ago
- A Bayesian group factor model with structured sparsity☆20Updated 8 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆7Updated 7 years ago
- Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s…☆17Updated last year
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆12Updated 4 years ago
- tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data☆17Updated 5 years ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆19Updated last year
- Branching Gaussian process☆28Updated last year
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆50Updated 2 years ago
- GrandPrix☆16Updated 5 years ago
- Causal Structure Learning and Network Analysis with Structural Equation Modeling.☆21Updated 2 months ago
- ☆9Updated 4 years ago
- ☆12Updated this week
- Bootstrap imputation for scRNAseq data☆12Updated 4 years ago