code: def read_tsv(cls, filepath_or_buffer: str, gene_table: ExpGeneTable = None,
                   encoding='UTF-8'):
          
          # "squeeze = True" ensures that a pd.read_tsv returns a series
          # as long as there is only one column
          e = cls(pd.read_csv(filepath_or_buffer, sep='\t',
                              index_col=0, header=0,
                              encoding=encoding, squeeze=True))
  
          if gene_table is not None:
              # filter genes
              e = e.filter_genes(gene_table.gene_names)
  
          return e
docs: Read expression profile from a tab-delimited text file.
  
          Parameters
          ----------
          path: str
              The path of the text file.
          gene_table: `ExpGeneTable` object, optional
              The set of valid genes. If given, the genes in the text file will
              be filtered against this set of genes. (None)
          encoding: str, optional
              The file encoding. ("UTF-8")
  
          Returns
          -------
          `ExpProfile`
              The expression profile.