code: import pandas as pd
  
  labels = pd.read_csv('../Fusion_dummy_His_MUT_joined.csv', header=0)
  # line = pd.read_csv('../../Line1.csv', header=0)
  line = pd.read_csv('../EC_cyclin_expression.csv', header=0)
  
  # line['name'] = line['Proteomics_Participant_ID']
  # line = line.drop(['Proteomics_Participant_ID', 'Histologic_type', 'Genomics_subtype', 'TP53_TP53'], axis=1)
  # labels = labels.join(line.set_index('name'), on='name')
  # labels['LINE1_ORF1p'] = (labels['LINE1_ORF1p'].dropna() > 0).astype(int)
  # labels['RAD50-S635'] = (labels['RAD50-S635'].dropna() > 0).astype(int)
  # labels['NBN-S343'] = (labels['NBN-S343'].dropna() > 0).astype(int)
  # labels['ATR-T1989'] = (labels['ATR-T1989'].dropna() > 0).astype(int)
  # labels['ATM-S1981'] = (labels['ATM-S1981'].dropna() > 0).astype(int)
  
  line['name'] = line['Sample_ID'].str.slice(start=0, stop=9)
  
  line = line.drop(['Sample_ID', 'Genomic_subtype'], axis=1)
  labels = labels.join(line.set_index('name'), on='name')
  labels['CCND1'] = (labels['CCND1'].dropna() > 0).astype(int)
  labels['CCNE1'] = (labels['CCNE1'].dropna() > 0).astype(int)
  labels['CCNA2'] = (labels['CCNA2'].dropna() > 0).astype(int)
  labels['CCNB1'] = (labels['CCNB1'].dropna() > 0).astype(int)
  
  labels.to_csv('../Fusion_dummy_His_MUT_joined.csv', index=False)
  
apis: pandas.read_csv