use R 3.4

mlux86 · Feb 12, 2018 · 61c8a1e · 61c8a1e
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -6,7 +6,7 @@ Description: flowLearn is an R package for predicting flow cytometry gating
     thresholds based on only density information and (very) few manual expert gates
     provided.
 Depends:
-    R (>= 3.5)
+    R (>= 3.4)
 License: file LICENSE
 Encoding: UTF-8
 LazyData: true

diff --git a/README.md b/README.md
@@ -24,10 +24,6 @@ iteratively improve the initial training.
 
 ## Using this software
 
-- **IMPORTANT: To meet the requirements of Bioconductor, the minimum `R` version has been changed to
-  3.5.** There, it is currently under review. However, flowLearn still works with the latest stable
-  version of `R` (3.4). You may change that in the `DESCRIPTION` file.
-
 - FlowLearn is very well documented and provides a quick start vignette with some example data.
 
 - Clone the repository and build the `R` package using `devtools::install(build_vignettes = T)`
@@ -37,9 +33,9 @@ iteratively improve the initial training.
 ## Files in the repository
 
 - `extra/eval.R` and `extra/eval.sh`: Scripts used for evaluating flowLearn on different data sets
-- `extra/prepare_*` scripts: Converting raw FCS files into flowLearn's custom `DensityData` format 
+- `extra/prepare_*` scripts: Converting raw FCS files into flowLearn's custom `DensityData` format
 - `extra/comparisons/` Scripts for running and evaluating flowSOM and DeepCyTOF on the mice data set.
 
 ## Licensing
 
-It is permitted to use flowLearn for non-commercial, i.e. academic or other scholarly research use. Please have a look at the LICENSE file for details.
+It is permitted to use flowLearn for non-commercial, i.e. academic or other scholarly research use. Please have a look at the LICENSE file for details.