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Dear everyone,
For cancer study, significant mutated genes were calculated to predict driver genes. I also calculaed it for one project, but got few genes.
MutsigCV brought few genes, as TP53.
Oncodrive was performed, the same result as mutsigCV.
Method as described of Kan depend on background mutation rate, also give few genes.
In the three method, genes with p-value below 0.05 is more, and q-value <0.1 is less.
MuSiC need many files, I haven't done it. Is there any other method? What's your processing with SMG?
Are there any suggestions? Thank you!
For cancer study, significant mutated genes were calculated to predict driver genes. I also calculaed it for one project, but got few genes.
MutsigCV brought few genes, as TP53.
Oncodrive was performed, the same result as mutsigCV.
Method as described of Kan depend on background mutation rate, also give few genes.
In the three method, genes with p-value below 0.05 is more, and q-value <0.1 is less.
MuSiC need many files, I haven't done it. Is there any other method? What's your processing with SMG?
Are there any suggestions? Thank you!
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