Command Line Interface

PathwayForte commands.

pathway_forte

Run PathwayForte.

pathway_forte [OPTIONS] COMMAND [ARGS]...

datasets

List the available cancer datasets.

pathway_forte datasets [OPTIONS]

export

Generate gene set files using ComPath.

pathway_forte export [OPTIONS]

fcs

List of FCS Analyses.

pathway_forte fcs [OPTIONS] COMMAND [ARGS]...

gsea

Run GSEA on TCGA data.

pathway_forte fcs gsea [OPTIONS]

Options

-d, --data <data>

Required Name of the cancer dataset from TCGA

Options

prad | ov | kirc | brca | lihc

-p, --permutations <permutations>

Number of permutations

Default

100

gsea-msig

Run GSEA on TCGA data using MSigDB gene sets.

pathway_forte fcs gsea-msig [OPTIONS]

Options

-d, --data <data>

Required Name of the cancer dataset from TCGA

Options

prad | ov | kirc | brca | lihc

ssgsea

Run ssGSEA on TCGA data.

pathway_forte fcs ssgsea [OPTIONS]

Options

-d, --data <data>

Required Name of the cancer dataset from TCGA

Options

prad | ov | kirc | brca | lihc

ora

Perform ORA analysis.

pathway_forte ora [OPTIONS] COMMAND [ARGS]...

hypergeometric

Perform one-tailed hypergeometric test enrichment.

pathway_forte ora hypergeometric [OPTIONS]

Options

-d, --genesets <genesets>

Required Path to GMT file

-s, --fold-changes <fold_changes>

Required Path to fold changes file

--no-threshold

Do not apply threshold

-o, --output <output>

Optional path for output JSON file

prediction

List of Prediction Methods.

pathway_forte prediction [OPTIONS] COMMAND [ARGS]...

binary

Train elastic net for binary prediction.

pathway_forte prediction binary [OPTIONS]

Options

-d, --data <data>

Required Name of the cancer dataset from TCGA

Options

prad | ov | kirc | brca | lihc

--outer-cv <outer_cv>

Number of splits in outer cross-validation

Default

10

--inner-cv <inner_cv>

Number of splits in inner cross-validation

Default

10

-i, --max_iterations <max_iterations>

Number of max iterations to converge

Default

1000

--turn-off-warnings

Turns off warnings

subtype

Train subtype analysis.

pathway_forte prediction subtype [OPTIONS]

Options

-d, --ssgsea <ssgsea>

Required Path to ssGSEA file

-s, --subtypes <subtypes>

Required Path to the subtypes file

--outer-cv <outer_cv>

Number of splits in outer cross-validation

Default

10

--inner-cv <inner_cv>

Number of splits in inner cross-validation

Default

10

--chain-pca
--explained-variance <explained_variance>

Explained variance

Default

0.95

--turn-off-warnings

Turns off warnings

survival

Train survival model.

pathway_forte prediction survival [OPTIONS]

Options

-d, --data <data>

Required Name of dataset

--outer-cv <outer_cv>

Number of splits in outer cross-validation

Default

10

--inner-cv <inner_cv>

Number of splits in inner cross-validation

Default

10

--turn-off-warnings

Turns off warnings

test-stability-prediction

Test stability of prediction.

pathway_forte prediction test-stability-prediction [OPTIONS]

Options

-s, --ssgsea-scores-path <ssgsea_scores_path>

Required ssGSEA scores file

-p, --phenotypes-path <phenotypes_path>

Required Path to the phenotypes file

--outer-cv <outer_cv>

Number of splits in outer cross-validation

Default

10

--inner-cv <inner_cv>

Number of splits in inner cross-validation

Default

10

-i, --max_iterations <max_iterations>

Number of max iterations to converge

Default

1000

--turn-off-warnings

Turns off warnings