erdogant / kaplanmeierLinks
kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.
☆33Updated 3 months ago
Alternatives and similar repositories for kaplanmeier
Users that are interested in kaplanmeier are comparing it to the libraries listed below
Sorting:
- A Python package to make publication-ready but customizable coefficient plots.☆124Updated 10 months ago
- Creating multi-resolution embeddings and clusters from high dimensional data☆53Updated 8 months ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Subpopulation detection in high-dimensional single-cell data☆69Updated 4 years ago
- Biological Network Integration using Convolutions☆62Updated last year
- A Python module for loading phenotypic and genetic data from the UK Biobank.☆35Updated 3 years ago
- ☆66Updated last year
- Variational autoencoders learn universal latent representations of metabolomics data (supplementary code)☆13Updated 2 years ago
- Computational framework for dataset integration☆11Updated last year
- Python client for the OmniPath web service☆44Updated last week
- Tools for building and manipulating graphs in Python☆41Updated 2 years ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 2 years ago
- Maximum mean discrepancy comparisons for single cell profiling experiments☆16Updated 3 years ago
- MASI Lab Implementation of PheWAS in Python☆28Updated 6 months ago
- InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.☆88Updated this week
- Examples on using EpiGraphDB☆27Updated 4 years ago
- MultiMAP for integration of single cell multi-omics☆56Updated last year
- mygene is an easy-to-use Python wrapper to access MyGene.Info services.☆90Updated 4 months ago
- Python, R and Matlab implementation of Brown's Method to combine dependent P-values☆25Updated 7 years ago
- Python port of the Unidip clustering algorithm from: http://www.kdd.org/kdd2016/subtopic/view/skinny-dip-clustering-in-a-sea-of-noise☆36Updated last year
- Pandas API for multiple Gene Set Enrichment Analysis implementations in Python (GSEApy, cudaGSEA, GSEA)☆15Updated 2 years ago
- A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)☆19Updated 6 months ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆72Updated last year
- Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…☆20Updated 2 years ago
- pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, …☆85Updated last year
- Work with trained factor models in Python☆33Updated 7 months ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆49Updated last year
- Multi-omics factor analysis v2☆45Updated 7 months ago
- Negative binomial maximum likelihood estimate implementation in Python using L-BFGS-B☆16Updated 3 years ago
- Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"☆45Updated last year