Voineagulab / TDAview
A graph visualisation tool targeted at persistent homology applications.
☆11Updated 4 years ago
Alternatives and similar repositories for TDAview:
Users that are interested in TDAview are comparing it to the libraries listed below
- Causal Structure Learning and Network Analysis with Structural Equation Modeling.☆24Updated last month
- A data analysis package for high-dimensional, multi-block data.☆12Updated 3 years ago
- xnet: a package for supervised network prediction☆11Updated 2 years ago
- S4 Generic Summary Statistic Functions that Operate on Matrix-Like Objects☆12Updated 2 months ago
- This is a read-only mirror of the CRAN R package repository. SNFtool — Similarity Network Fusion☆20Updated 3 years ago
- tests for statistical significance of clustering☆37Updated 6 years ago
- A toolbox for sparse contrastive principal component analysis☆12Updated last month
- An R package for statistics and machine learning with persistence diagrams☆16Updated 5 months ago
- Dimension Reduction and Estimation Methods☆52Updated 2 years ago
- ☆19Updated last year
- ShinyLearner: a software framework for performing benchmarks of machine-learning classification algorithms☆18Updated 3 years ago
- Fit phenomenological sigmoid and impulse curves with priors to improve interpretability☆10Updated 10 months ago
- ☆13Updated 3 years ago
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆18Updated 2 years ago
- Semi-parametric simulation of bulk and single cell RNA-seq data☆10Updated 4 months ago
- Easy grafs, ANOVAs and posthoc comparisons.☆48Updated 2 weeks ago
- Single sample network reconstruction in R☆22Updated 4 years ago
- Search public databases for given genotypic information☆11Updated 7 years ago
- Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.☆30Updated last month
- 🔬 R package: Analysis of Large Affymetrix Microarray Data Sets☆10Updated 2 weeks ago
- ☆10Updated 3 years ago
- BhGLM (Bayesian hierarchical GLMs and survival models)☆20Updated 9 months ago
- ☆10Updated 3 years ago
- Perform PCA on data with missing values in R☆49Updated last year
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 3 years ago
- Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally di…☆39Updated last year
- 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
- Mixed Effect Machine Learning☆10Updated 4 years ago
- Extracting mutational signatures via LASSO. The manuscript of the method is published on PLOS Computational Biology and available at: htt…☆11Updated this week
- Kinship In Mixed Model Analysis of RNA-seq☆12Updated 10 months ago