docs: def load_cufflinks_dict(*args, **kwargs):
      """
      Returns dictionary mapping feature identifier (either transcript or gene ID)
      to a DataFrame row with fields:
          id : str
          novel : bool
          fpkm : float
          chr : str
          start : int
          end : int
          gene_names : str list
      """
      return {
          row.id: row
          for (_, row)
          in load_cufflinks_dataframe(*args, **kwargs).iterrows()
      }