updated README

README.md

@@ -1,17 +1,17 @@
 # Low Dimensional Projection of Cytometry Samples
 
-[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#WIP)
+[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
 [![R-CMD-check-bioc](https://github.com/UCLouvain-CBIO/CytoMDS/workflows/R-CMD-check-bioc/badge.svg)](https://github.com/UCLouvain-CBIO/CytoMDS/actions?query=workflow%3AR-CMD-check-bioc)
 [![license](https://img.shields.io/badge/license-GPL3.0-blue)](https://opensource.org/licenses/GPL-3.0)
 [![codecov.io](https://codecov.io/github/UCLouvain-CBIO/CytoMDS/coverage.svg?branch=main)](https://codecov.io/github/UCLouvain-CBIO/CytoMDS?branch=main)
 
-The `CytoEMD` package  implements a low dimensional visualization of a set
+The `CytoMDS` package  implements a low dimensional visualization of a set
 of cytometry samples, in order to visually assess the 'distances' between them.
 This, in turn, can greatly help the user to identify quality issues 
 like batch effects or outlier samples, and/or check the presence of potential 
 sample clusters that might align with the experimental design.  
 
-The CytoMDS algorithm combines, on the one hand, the concept of Earth Mover's 
+The `CytoMDS` algorithm combines, on the one hand, the concept of Earth Mover's 
 Distance (EMD), a.k.a. Wasserstein metric and, on the other hand, 
 the Multi Dimensional Scaling (MDS) algorithm for the low dimensional
 projection.