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I utilize the FUSION.compute_weights.R and FUSION.profile_wgt.R to calculate specific weight for my gene list and to generate the best regression models for each genes with input genotype of ±100KB around genes. Next I would like to utilize the best models to predict expression level for each genes also by the ±100KB variants, which helps me to reveal the cis-expression component of each gene. In other word, I want to use FUSION to predict genes expression instead of conducting summarized TWAS analysis. How could I reach this?
The text was updated successfully, but these errors were encountered:
I utilize the
FUSION.compute_weights.R
andFUSION.profile_wgt.R
to calculate specific weight for my gene list and to generate the best regression models for each genes with input genotype of ±100KB around genes. Next I would like to utilize the best models to predict expression level for each genes also by the ±100KB variants, which helps me to reveal the cis-expression component of each gene. In other word, I want to use FUSION to predict genes expression instead of conducting summarized TWAS analysis. How could I reach this?The text was updated successfully, but these errors were encountered: