From 537c4e91ab2391455df82cc8de2eda93135387cc Mon Sep 17 00:00:00 2001 From: HDash <16350928+HDash@users.noreply.github.com> Date: Fri, 3 Jan 2025 13:07:32 +0000 Subject: [PATCH] Update README --- README.Rmd | 9 ++------- README.md | 10 +++------- 2 files changed, 5 insertions(+), 14 deletions(-) diff --git a/README.Rmd b/README.Rmd index 3da8388..ee038ba 100644 --- a/README.Rmd +++ b/README.Rmd @@ -24,13 +24,8 @@ The MSTExplorer package is an extension of the designed to run expression weighted celltype enrichment (EWCE) on multiple gene lists in parallel. The results are then stored both as separate .rds files, one for each individual EWCE analysis, as well as a in a single dataframe -containing all the results. - -This package is useful in cases where you have a large number of related, but -separate, gene lists. In this vignette we will use an example from the Human -Phenotype Ontology (HPO). The HPO contains over 9000 clinically relevant -phenotypes annotated with lists of genes that have been found to be associated -with the particular phenotype. +containing all the results. This package is useful in cases where you have a +large number of related, but separate, gene lists. ## Installation diff --git a/README.md b/README.md index 7d5efb0..a3a26d6 100644 --- a/README.md +++ b/README.md @@ -28,13 +28,9 @@ The MSTExplorer package is an extension of the It is designed to run expression weighted celltype enrichment (EWCE) on multiple gene lists in parallel. The results are then stored both as separate .rds files, one for each individual EWCE analysis, as well as a -in a single dataframe containing all the results. - -This package is useful in cases where you have a large number of -related, but separate, gene lists. In this vignette we will use an -example from the Human Phenotype Ontology (HPO). The HPO contains over -9000 clinically relevant phenotypes annotated with lists of genes that -have been found to be associated with the particular phenotype. +in a single dataframe containing all the results. This package is useful +in cases where you have a large number of related, but separate, gene +lists. ## Installation