Hi, I am new to Music when find significant mutated genes in my data.

There three test to calculate significant p value of gene, and I am confused which test should be chosen or all three test should be considered together?

Another question: The q value threshold is limited at 0.01 as paper (Kandoth, Cyriac, et al. "Mutational landscape and significance across 12 major cancer types." *Nature* 502.7471 (2013): 333-339.) said? Can I set the q value threshold at 0.1?

Thank you for help!
Per the [documentation of the MuSiC `smg` module][1]:

> P-values and false discovery rates (FDRs) for each gene in gene_mr_file is calculated using three tests: Fisher's Combined P-value test (FCPT), Likelihood Ratio test (LRT), and the Convolution test (CT). For a gene, if its FDR for at least 2 of these tests is <= max_fdr, it will be output as an SMG. Another output file with prefix "_detailed" will have p-values and FDRs for all genes.

To report in a paper, use p-values/q-values from either CT, LRT, or both. CT performs slightly better than LRT overall, but LRT sometimes skips false-positive SMGs that CT picks. Hence the use of the `max_fdr` cutoff as described above.

It is perfectly fine to modify the q-value (FDR) cutoffs however you like, because background mutation models differ wildly between tumor types. Do a literature search on the highest ranked genes, and work your way down the list. When it seems like there are a lot of irrelevant genes, then that's where you draw the cutoff.

 [1]: http://gmt.genome.wustl.edu/genome-shipit/genome-music/current/doc/genome-music-smg.html