multiaffinity-workflow
Version 1

Workflow Type: Common Workflow Language

Stable

MultiAffinity enables the study of how gene dysregulation propagates on a multilayer network on a disease of interest, uncovering key genes. Find the detailed documentation for the tool here.

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SEEK ID: https://dev.workflowhub.eu/workflows/234?version=1

Inputs

ID	Name	Description	Type
counts	n/a	Count Matrices of the RNA-Seq studies - List of input CSV files, separated by commas	File[]
metadata	n/a	Metadata of the RNA-Seq studies - List of input CSV files, separated by commas	File[]
layers	n/a	Layers of the multilayer networks - List of input CSV files, separated by commas	File[]?
approach	n/a	Computes correlation on each community or respect all genes, local or global approach (default is local)	string?
output_dir	n/a	Defines name for output folder	string?
padj	n/a	Sets significance value for DESeq2, RRA, and Spearman's Corr (default is 0.05)	string?
LFC	n/a	Defines whether self loops are removed or not, takes values 0 or 1 (default is 1)	string?
control_id	n/a	Defines metadata label for the control samples (default is Normal)	string?
multiXrank_r	n/a	Global restart probability for multiXrank, given by float between 0 and 1 (default is 0.15)	string?
multiXrank_selfloops	n/a	Defines whether self loops are removed or not, takes values 0 or 1 (default is 1)	int?
Molti_modularity	n/a	Sets Newman modularity resolution parameter on molTI-DREAM (default is 1)	int?
Molti_Louvain	n/a	Switches to randomized Louvain on molTI-DREAM and sets num. of randomizations (default is 5)	int?
min_nodes	n/a	Defines minimum number of nodes required to describe a community (default is 7)	int?