Skip to main content
Back to top
Ctrl
+
K
HoloNet documentation
Installation
Tutorials
Analyzing and visualizing cell-cell communication events
Decoding the holograph of functional cell-cell communication events
API
HoloNet.preprocessing.load_brca_visium_10x
HoloNet.preprocessing.load_lr_df
HoloNet.preprocessing.get_expressed_lr_df
HoloNet.tools.elements_expr_df_calculate
HoloNet.tools.compute_ce_tensor
HoloNet.tools.filter_ce_tensor
HoloNet.tools.compute_ce_network_eigenvector_centrality
HoloNet.tools.compute_ce_network_degree_centrality
HoloNet.tools.cluster_lr_based_on_ce
HoloNet.tools.default_w_visium
HoloNet.predicting.get_continuous_cell_type_tensor
HoloNet.predicting.get_one_hot_cell_type_tensor
HoloNet.predicting.get_gene_expr
HoloNet.predicting.get_one_case_expr
HoloNet.predicting.adj_normalize
HoloNet.predicting.mgc_repeat_training
HoloNet.predicting.get_mgc_result
HoloNet.predicting.mgc_training_for_multiple_targets
HoloNet.predicting.get_mgc_result_for_multiple_targets
HoloNet.predicting.save_model_list
HoloNet.predicting.load_model_list
HoloNet.plotting.feature_plot
HoloNet.plotting.cell_type_level_network
HoloNet.plotting.plot_cell_type_proportion
HoloNet.plotting.ce_hotspot_plot
HoloNet.plotting.ce_cell_type_network_plot
HoloNet.plotting.lr_umap
HoloNet.plotting.lr_clustering_dendrogram
HoloNet.plotting.lr_cluster_ce_hotspot_plot
HoloNet.plotting.lr_rank_in_mgc
HoloNet.plotting.fce_cell_type_network_plot
HoloNet.plotting.delta_e_proportion
HoloNet.plotting.plot_mgc_result
HoloNet.plotting.find_genes_linked_to_ce
HoloNet.plotting.detect_pathway_related_genes
HoloNet.plotting.select_w
References
.rst
.pdf
Installation
Contents
Install by PyPi
Installation
#
Install by PyPi
#
pip
install
HoloNet
Contents
Install by PyPi