import pytcga

# Get a list of study names and their abbreviations
studies = pytcga.load_studies()

import pytcga

# Downloading and loading LUAD patient data
clinical = pytcga.load_clinical_data('luad')

import pytcga

# Downloading and loading LUAD mutations
luad_mutations = \
    pytcga.load_mutation_data(disease_code='LUAD', with_clinical=False)


# Also appends clinical data with `with_clinical` flag
luad_mutations = \
    pytcga.load_mutation_data(disease_code='LUAD', with_clinical=True)

# Filter variants with the `variant_type` argument
# variant_type = {'all', 'indel', SNP', 'INS', 'DEL'}
luad_indel_mutations = \
    pytcga.load_mutation_data(disease_code='LUAD', with_clinical=True, variant_type='indel')

import pytcga

# Downloading and loading LUAD gene quantification
luad_rnaseq = \
    pytcga.load_rnaseq_data(disease_code='LUAD', with_clinical=True)