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ALLCools.clustering.ClusterMerging

ALLCools.clustering.ClusterMerging

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class ClusterMerge(merge_criterion, stop_criterion=None, stop_clusters=- 1, n_cells=200, metric='euclidean', method='average', label_concat_str='::')[source]
_construct_tree(self)[source]
static _traverse(node, call_back)[source]
_merge_pair(self, pair, concat_str='::')[source]
fit_predict(self, data_for_tree, cell_to_type, gene_mcds)[source]
class PairwiseDMGCriterion(max_cell_per_group=100, top_n_markers=5, adj_p_cutoff=0.001, delta_rate_cutoff=0.3, auroc_cutoff=0.85, use_modality='either', random_state=0, n_jobs=10, verbose=False)[source]
predict(self, pair_labels, pair_cells, pair_cell_types, pair_mcds, da_name='gene_da_frac')[source]

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