code: def _load_single_patient_cufflinks(self, patient, filter_ok):
          
          data = pd.read_csv(patient.tumor_sample.cufflinks_path, sep="\t")
          data["patient_id"] = patient.id
  
          if filter_ok:
              # Filter to OK FPKM counts
              data = data[data["FPKM_status"] == "OK"]
          return data
docs: Load Cufflinks gene quantification given a patient
  
          Parameters
          ----------
          patient : Patient
          filter_ok : bool, optional
              If true, filter Cufflinks data to row with FPKM_status == "OK"
  
          Returns
          -------
          data: Pandas dataframe
              Pandas dataframe of sample's Cufflinks data
              columns include patient_id, gene_id, gene_short_name, FPKM, FPKM_conf_lo, FPKM_conf_hi