xmotifs.py 文件源码

def run(self, data):
        """Compute biclustering.

        Parameters
        ----------
        data : numpy.ndarray
        """
        data = check_array(data, dtype=np.int, copy=True)
        self._validate_parameters()

        num_remaining_rows, num_cols = data.shape
        remaining_rows = np.ones(num_remaining_rows, np.bool)
        biclusters = []

        for i in range(self.num_biclusters):
            indices = np.where(remaining_rows)[0]
            b = self._find_motif(data, indices)
            biclusters.append(b)

            remaining_rows[b.rows] = False
            num_remaining_rows -= len(b.rows)

            if num_remaining_rows == 0:
                break

        return Biclustering(biclusters)