From 1be884a30b80ebe3b409810925dc44746b55f3b3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dar=C3=ADo=20Here=C3=B1=C3=BA?= Date: Tue, 4 Aug 2020 15:17:48 -0300 Subject: [PATCH] Minor proposal on line 05 & paragraph 71 --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 47453ea..51d0ac9 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # scAI: a single cell Aggregation and Integration method for analyzing single cell multi-omics data -- scAI is an unsupervised approach for integrative analysis of gene expression and chromatin accessibility or DNA methylation proflies measured in the same individual cells. +- scAI is an unsupervised approach for integrative analysis of gene expression and chromatin accessibility or DNA methylation profiles measured in the same individual cells. - scAI infers a set of biologically relevant factors, which enable various downstream analyses, including the identification of cell clusters, cluster-specific markers and regulatory relationships. - scAI provides an intuitive way to visualize features (i.e., genes and loci) alongside the cells in two dimensions. - scAI aggegrates chromatin profiles of similar cells in an unsupervised and iterative manner, which opens up new avenues for analyzing extremely sparse, binary scATAC-seq data. @@ -68,7 +68,7 @@ object <- run_scAI(object, K, do.fast = TRUE, hvg.use1 = TRUE) ``` - Using informative loci for scATAC-seq or single cell methylation data: -Unlike scRNA-seq data, the largely binary nature of scATAC-seq data makes it challenging to perform ‘variable’ feature selection. One option is to select the nearby chromsome regions of the informative genes. +Unlike scRNA-seq data, the largely binary nature of scATAC-seq data makes it challenging to perform ‘variable’ feature selection. One option is to select the nearby chromosome regions of the informative genes. ``` object <- selectFeatures(object, assay = "RNA") loci.use <- searchGeneRegions(genes = object@var.features[[1]], species = "mouse")