This is the alpha version of the CellOracle package
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Is it possible to adjust the clustering information of all cells to the same value in order to investigate the feasibility of identifying regulons? #164
I would like to express my sincere appreciation to the developers for creating such a powerful tool.
Recently, I have been exploring the possibility of identifying potential Regulons in my dataset that are not related to Cluster. I am interested to know if it is feasible to manually adjust the clustering information of all cells to the same value in order to achieve this.
Specifically, I would like to follow the following steps:
(1) Manually adjust the clustering information of all cells to 'All' and store it in adata.obs.
(2) Perform the standard CellOracle analysis.
(3) Manually extract each transcription factor (TF) and its regulated genes from filtered_links.
(4) Calculate the AUCell scores for each Regulon.
I would appreciate your insights on whether the aforementioned analysis holds scientific significance. Thank you for your assistance.
I would like to express my sincere appreciation to the developers for creating such a powerful tool.
Recently, I have been exploring the possibility of identifying potential Regulons in my dataset that are not related to Cluster. I am interested to know if it is feasible to manually adjust the clustering information of all cells to the same value in order to achieve this.
Specifically, I would like to follow the following steps: (1) Manually adjust the clustering information of all cells to 'All' and store it in adata.obs. (2) Perform the standard CellOracle analysis. (3) Manually extract each transcription factor (TF) and its regulated genes from filtered_links. (4) Calculate the AUCell scores for each Regulon.
I would appreciate your insights on whether the aforementioned analysis holds scientific significance. Thank you for your assistance.