From bfcaf5117190da1ccb11626f951c9741d4c787b8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Richard=20Tj=C3=B6rnhammar?= Date: Wed, 22 Sep 2021 08:53:17 +0200 Subject: [PATCH] badges --- README.md | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 364507a..7f9d02c 100755 --- a/README.md +++ b/README.md @@ -3,6 +3,8 @@ This toolkit currently offers enrichment analysis, hierarchical enrichment analy The fine grained data can be studied via a statistical tests that relates it to observables in a coarse grained journal file. The final p values can then be rank corrected by employing a novel q-value method. +[![License](https://img.shields.io/github/license/Qiskit/qiskit.svg?)](https://opensource.org/licenses/Apache-2.0) +[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5109938.svg)](https://doi.org/10.5281/zenodo.5109938) [![Downloads](https://pepy.tech/badge/impetuous-gfa)](https://pepy.tech/project/impetuous-gfa) [![Downloads](https://pepy.tech/badge/impetuous-gfa/month)](https://pepy.tech/project/impetuous-gfa) [![Downloads](https://pepy.tech/badge/impetuous-gfa/week)](https://pepy.tech/project/impetuous-gfa) @@ -10,12 +12,6 @@ The fine grained data can be studied via a statistical tests that relates it to Visit the active code via : https://github.com/richardtjornhammar/impetuous -Visit the published code : -https://doi.org/10.5281/zenodo.2594690 - -Cite using : -DOI: 10.5281/zenodo.2594690 - # Pip installation with : ``` pip install impetuous-gfa -- GitLab