theorod93 / sCCALinks
Sparse Canonical Correlation Analysis (sCCA)
☆20Updated 3 years ago
Alternatives and similar repositories for sCCA
Users that are interested in sCCA are comparing it to the libraries listed below
Sorting:
- Source code for integrative nonnegative matrix factorization☆19Updated 7 years ago
- Extracting mutational signatures via LASSO. The manuscript of the method is published on PLOS Computational Biology and available at: htt…☆11Updated 2 months ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 3 years ago
- Integrated Genome Modeling☆12Updated 2 years ago
- Various Ideas for Confounder Adjustment in Regression☆24Updated 2 years ago
- PAthway Representation and Analysis by Direct Inference on Graphical Models☆44Updated 7 years ago
- ☆16Updated 5 years ago
- An R package to fit dose response curves for data from the Genomics of Drug Sensitivity of Cancer (GDSC) project.☆26Updated 2 years ago
- Transcriptional regulatory network inference from gene expression and prior information with LASSO-StARS☆15Updated 3 years ago
- Bayesian modelling of DNA methylation heterogeneity at single-cell resolution☆23Updated last year
- ☆12Updated 6 years ago
- Fast Inference of Networks from Directed Regulations☆22Updated last year
- Single sample network reconstruction in R☆22Updated 5 years ago
- Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)☆27Updated 2 years ago
- A Matlab package to perform Pareto Task Inference (ParTI), which infers tasks from high-dimensional datasets.☆14Updated 5 years ago
- Comparison of dimensionality reduction methods☆30Updated 5 years ago
- snpnet - Efficient Lasso Solver for Large-scale genetic variant data☆18Updated last year
- PyIOmica (pyiomica) is a Python package for omics analyses.☆15Updated 3 weeks ago
- R package: Simulate Expression data from igraph network using mvtnorm (CRAN; JOSS)☆24Updated 2 months ago
- This is the R implementation of a robust correlation matrix estimator usefull in case of high-dimensional data to remove the bias. It al…☆13Updated 6 years ago
- Volume-regularized NMF☆17Updated 3 years ago
- R/Shiny package for network-integrated pathway enrichment analysis☆14Updated 4 years ago
- A Python package for gene network analysis☆32Updated 3 years ago
- Modelling DNA methylation profiles☆23Updated 5 years ago
- tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data☆17Updated 6 years ago
- ☆20Updated 4 years ago
- Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"☆45Updated last year
- Tools Databases Resources in Metabolomics & Integrated Omics in 2015-2016☆12Updated 5 years ago
- Tutorial for the analysis of scRNA-seq data in R☆18Updated 6 years ago
- Quantifiable predictive features define epitope-specific T cell receptor repertoires☆13Updated 2 years ago