Prepare tag

NEWS.md

@@ -1,5 +1,9 @@
 # master (unpublished)
 
+No changes yet
+
+# v0.15.0 (latest)
+
 ### general
 - improve sign determination for conditional mutual information tests
 - remove jld2 support due to stability issues
@@ -13,7 +17,7 @@ header positions could not be read
 - fix bug where zero weights were assigned to highly associated variable pairs in rare cases
 - fix bug that could lead to the first data column being parsed as row identifiers if it had no duplicate entries
 
-# v0.14.0 (minor, latest)
+# v0.14.0
 
 ### general
 - allow string factors in meta data

Project.toml

@@ -28,15 +28,15 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 
 [compat]
 Combinatorics = "1"
-DataStructures = "0.17"#[0.12.0]"
-Distributions = "0.21"#"0.16, 0.21, 0.22"
+DataStructures = "0.17"
+Distributions = "0.21"
 FileIO = "1"
-HDF5 = "0.12"#"≥ 0.10.0"
-JLD2 = "0.1"#"≥ 0.1.0"
-JSON = "0.21"#"≥ 0.19.0"
+HDF5 = "0.12"
+JLD2 = "0.1"
+JSON = "0.21"
 LightGraphs = "1"
 SimpleWeightedGraphs = "1"
-StatsBase = "0.32"#"[0.25.0, 0.32]"
+StatsBase = "0.32"
 julia = "1"
 
 [extras]

test/preprocessing.jl

@@ -1,13 +1,11 @@
 using FlashWeave
 using StatsBase
-#using FileIO
 using Test
 using SparseArrays, DelimitedFiles, Statistics
 
 data = Matrix{Float64}(readdlm(joinpath("data", "HMP_SRA_gut", "HMP_SRA_gut_small.tsv"), '\t')[2:end, 2:end])
 data_sparse = sparse(data)
 
-#exp_dict = load(joinpath("data", "preprocessing_expected.jld2"), "exp_dict")
 exp_folder = joinpath("data", "preprocessing_expected")
 exp_dict = Dict{Any,Any}(replace(splitext(file)[1], '_'=>'-') => readdlm(joinpath(exp_folder, file), '\t')
                 for file in readdir(exp_folder))