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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def read_tsv(cls, filepath_or_buffer: str, gene_table: ExpGeneTable = None, encoding='UTF-8'):
 """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. """

        # "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