[[bench]]
harness = false
name = "benchmarks"
path = "benches/benchmarks.rs"
[dependencies.bincode]
version = "1.3.1"
[dependencies.csv]
version = "1.1"
[dependencies.env_logger]
version = "0.9.0"
[dependencies.extsort]
version = "0.4.2"
[dependencies.fast-float]
version = "0.2"
[dependencies.itertools]
version = "0.9.0"
[dependencies.lazy_static]
version = "1.4.0"
[dependencies.log]
version = "0.4.14"
[dependencies.pyo3]
features = ["extension-module"]
version = "0.22.2"
[dependencies.rayon]
version = "1.10.0"
[dependencies.serde]
default-features = false
version = "1.0.14"
[dependencies.serde_derive]
default-features = false
version = "1.0.14"
[dependencies.statrs]
version = "0.17.1"
[dev-dependencies.approx]
version = "0.5.0"
[dev-dependencies.criterion]
version = "0.5.1"
[[example]]
name = "basic"
path = "examples/basic.rs"
[[example]]
name = "cpg_site_ids"
path = "examples/cpg_site_ids.rs"
[features]
default = ["extension-module"]
extension-module = ["pyo3/extension-module"]
[lib]
crate-type = ["cdylib", "rlib"]
name = "ggca"
path = "src/lib.rs"
[package]
authors = ["JWare Solutions <jware.organization@gmail.com>", "Sergio Leandro Calderón <bs.sergiocalderon@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autotests = false
build = false
description = "Computes efficiently the correlation (Pearson, Spearman or Kendall) and the p-value (two-sided) between all the pairs from two datasets"
documentation = "https://docs.rs/ggca/"
edition = "2018"
exclude = [".*", "*.tar.gz", "*.sh"]
keywords = ["mRNA", "expression", "modulation", "correlation", "p-value"]
license = "GPL-3.0"
name = "ggca"
readme = "README.md"
repository = "https://github.com/jware-solutions/ggca"
version = "1.0.0"
[[test]]
name = "benjamini_hochberg"
path = "tests/benjamini_hochberg.rs"
[[test]]
name = "benjamini_yekutieli"
path = "tests/benjamini_yekutieli.rs"
[[test]]
name = "bonferroni"
path = "tests/bonferroni.rs"
[[test]]
name = "cpg_site_ids"
path = "tests/cpg_site_ids.rs"
[[test]]
name = "kendall"
path = "tests/kendall.rs"
[[test]]
name = "nan_filtering"
path = "tests/nan_filtering.rs"
[[test]]
name = "pearson"
path = "tests/pearson.rs"
[[test]]
name = "spearman"
path = "tests/spearman.rs"