<jupyter_start><jupyter_text>Setup<jupyter_code>uniprot = pd.read_csv("/srv/home/wconnell/keiser/data/uniprot_mapping_ids/TCGA_rnaseq_uniprot_features.tab.gz", sep="\t")
keratin = uniprot[uniprot["Gene ontology (biological process)"] == "keratinization [GO:0031424]"]
disease = ['BRCA', 'LUAD', 'KIRC', 'THCA', 'PRAD', 'SKCM']
sample_type = ['Primary Tumor', 'Solid Tissue Normal']
params = {"device":"3",
          "note":"true",
          "n_features":len(keratin),
          "steps":50,
          "embedding":2}
main(disease=disease, sample_type=sample_type, **params)<jupyter_output><empty_output>
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