IlyaLab / CombiningDependentPvaluesUsingEBM
Python, R and Matlab implementation of Brown's Method to combine dependent P-values
☆25Updated 7 years ago
Alternatives and similar repositories for CombiningDependentPvaluesUsingEBM:
Users that are interested in CombiningDependentPvaluesUsingEBM are comparing it to the libraries listed below
- Python translation of the hybrid dynamicTreeCut method as created by Peter Langfelder and Bin Zhang.☆40Updated 3 years ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆72Updated last year
- An interface for Nested Stochastic Block Model for single cell analysis☆32Updated 3 weeks ago
- ☆28Updated 2 years ago
- An unsupervised transfer learning approach for rare disease transcriptomics☆45Updated 5 years ago
- Modelling DNA methylation profiles☆23Updated 4 years ago
- Beta version of 1D t-SNE heatmaps to visualize expression patterns of hundreds of genes simultaneously in scRNA-seq☆48Updated 6 years ago
- HiDeF (Hierarchical community Decoding Framework)☆14Updated last year
- Fast Inference of Networks from Directed Regulations☆22Updated last year
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Tied Diffusion for Subnetwork Discovery (TieDIE)☆37Updated 3 years ago
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆55Updated 2 years ago
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- ☆33Updated 3 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆51Updated 6 years ago
- Dynamic models for single-cell RNA-seq time series.☆40Updated 6 years ago
- ☆94Updated 11 months ago
- ☆31Updated 5 years ago
- Assembles a graph manifold from time series single-cell RNAseq data☆17Updated 3 years ago
- Fit generalized linear models in python.☆27Updated 2 years ago
- scRNAseq integration with triplet neural networks☆40Updated 2 years ago
- Pathway-Level Information Extractor (PLIER): a generative model for gene expression data☆53Updated 7 months ago
- Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"