Project.toml

name = "ischemia_classification_analysis"
uuid = "d2801e38-16aa-44bb-91aa-d8d17764bda8"
authors = ["Martina-Garavaglia"]
version = "0.1.0"

[deps]
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
Clustering = "aaaa29a8-35af-508c-8bc3-b662a17a0fe5"
ComputationalHomology = "9393a4d0-be1e-45b0-9991-b60434c721e6"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
FluxOptTools = "ca11d760-9bce-11e9-0b7e-4f72fcadb4f9"
GLMakie = "e9467ef8-e4e7-5192-8a1a-b1aee30e663a"
Gadfly = "c91e804a-d5a3-530f-b6f0-dfbca275c004"
LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
MLBase = "f0e99cf1-93fa-52ec-9ecc-5026115318e0"
Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a"
MultivariateStats = "6f286f6a-111f-5878-ab1e-185364afe411"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
ParametricMachinesDemos = "bf2452f4-e92a-4e69-8f07-19c02af9b8cb"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
SmithNormalForm = "ba71f38f-f508-439b-ac77-437f86a20aa1"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
TDA = "fe47203d-f35f-412c-997c-af2409ec39e9"
Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
UMAP = "c4f8c510-2410-5be4-91d7-4fbaeb39457e"
VegaLite = "112f6efa-9a02-5b7d-90c0-432ed331239a"

[compat]
julia = "1"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]