Python simulator and power-analysis tool for TWAS. Long Description (required)
twas_sim uses real genotype data to simulate complex traits through latent gene expression, estimate eQTL weights in independent data, run GWAS/TWAS, and evaluate power under multiple LD, prediction-model, and pleiotropy settings. TWAS; GWAS; eQTL; gene expression; power analysis; genotype simulation; Python https://github.com/mancusolab/twas_sim
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
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Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications