Adding TCGA Module README #137
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ajlee21
approved these changes
Jan 23, 2019
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| ### Predicting gene alterations | ||
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| We selected the [top 50 most mutated genes](https://github.com/greenelab/BioBombe/blob/master/9.tcga-classify/top-50-pancanatlas-mutations.ipynb) in TCGA to predict. |
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Might be too late to change this. I assume 50 genes was an arbitrary cutoff, I wonder if you tried looking at the distribution to help determine the threshold?
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yeah, 50 was arbitrary. I didn't look at the distribution myself, but this is well studied in this dataset. I think it would be really cool to predict all mutations and plot signal we observe. Probably beyond scope of this analysis though
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closes #90
closes #135