Error when applying infer_network.jl on real experimental data

[Tianqi-Ma]

Hi, I am using infer_network.jl on experimental data (raw counts and log-transformed counts). But it returns error like this:

ERROR: LoadError: MethodError: no method matching setindex_shape_check(::Int64, ::Int64) Closest candidates are: setindex_shape_check(!Matched::AbstractArray{#s72,1} where #s72, ::Integer) at indices.jl:218 setindex_shape_check(!Matched::AbstractArray{#s72,1} where #s72, ::Integer, !Matched::Integer) at indices.jl:221 setindex_shape_check(!Matched::AbstractArray{#s72,2} where #s72, ::Integer, !Matched::Integer) at indices.jl:225 ... Stacktrace: [1] macro expansion at ./multidimensional.jl:694 [inlined] [2] _unsafe_setindex!(::IndexLinear, ::Array{Int64,1}, ::Int64, ::UnitRange{Int64}) at ./multidimensional.jl:689 [3] _setindex! at ./multidimensional.jl:684 [inlined] [4] setindex! at ./abstractarray.jl:1020 [inlined] [5] get_bin_ids!(::Array{Float64,1}, ::String, ::Int64, ::Array{Int64,1}) at /home/s4475694/.julia/packages/InformationMeasures/fdfJk/src/Discretization.jl:111 [6] Node(::Array{Any,2}, ::String, ::String, ::Int64) at /home/s4475694/.julia/packages/NetworkInference/z8pnG/src/common.jl:32 [7] #get_nodes#15(::Bool, ::String, ::String, ::Int64, ::Function, ::String) at /home/s4475694/.julia/packages/NetworkInference/z8pnG/src/infer_network.jl:35 [8] (::getfield(NetworkInference, Symbol("#kw##get_nodes")))(::NamedTuple{(:discretizer,),Tuple{String}}, ::typeof(get_nodes), ::String) at ./none:0 [9] top-level scope at util.jl:156 [10] include at ./boot.jl:326 [inlined] [11] include_relative(::Module, ::String) at ./loading.jl:1038 [12] include(::Module, ::String) at ./sysimg.jl:29 [13] exec_options(::Base.JLOptions) at ./client.jl:267 [14] _start() at ./client.jl:436 in expression starting at /QRISdata/Q1851/Tianqi/GRN/scripts/infer_network.jl:31

However, there is no error when applying infer_network.jl on the simulated data you provided. BTW, I'm using Julia 1.1.1 in conda environment. The error is from: @time genes = get_nodes(dataset_name);