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Table 1 Parameters considered in this benchmarking study, their specific values under investigation, and the scientific aims of investigating each parameter

From: Benchmarking causal reasoning algorithms for gene expression-based compound mechanism of action analysis

Parameter

Aim of investigation

Algorithm

Determine which algorithms perform better, examine how they handle network bias

Network

Examine effects of coverage vs. potential noise

Platform

Comparison between two transcriptomics technologies, evaluation of use of L1000 data with causal reasoning

Gene Set

Evaluation of the ability of reduced representation of transcriptome to gain MoA insights, comparison between inferred vs. measured genes

Cell Line

Evaluate effect of biological context on the ability of the algorithms to recover diverse MoAs