Closed yamihn closed 3 months ago
sorry again, I noticed that when I use gethubgenes() the data frame produced contains the top -say- 25 genes with highest kME. But they are in increasing order, so the top one has smaller kME:
hub_df_5_c1
gene_name module kME
101 Gata6 Cluster_uno5 0.2773182
102 Kdr Cluster_uno5 0.2840699
103 Schip1 Cluster_uno5 0.3035335
104 Bmp5 Cluster_uno5 0.3132763
105 Unc5b Cluster_uno5 0.3140855
106 Igsf11 Cluster_uno5 0.3187531
107 Meis1 Cluster_uno5 0.3240560
108 Cacna1d Cluster_uno5 0.3383718
109 Il17rd Cluster_uno5 0.3386139
110 Dpf3 Cluster_uno5 0.3496444
111 Grid2 Cluster_uno5 0.3608794
112 Nrg1 Cluster_uno5 0.3735618
113 Filip1 Cluster_uno5 0.3843238
114 Myocd Cluster_uno5 0.3956321
115 Nrxn3 Cluster_uno5 0.3978237
116 Tafa2 Cluster_uno5 0.3990121
117 Plxna4 Cluster_uno5 0.4069242
118 Ank3 Cluster_uno5 0.4348151
119 Ccdc141 Cluster_uno5 0.4366839
120 Adamts9 Cluster_uno5 0.4460642
121 Itpr1 Cluster_uno5 0.4597336
122 Rbm20 Cluster_uno5 0.4798275
123 Bmper Cluster_uno5 0.4959626
124 Kcnq5 Cluster_uno5 0.4968344
125 Mef2c Cluster_uno5 0.5821404
Shouldn't they are sorted in decreased order?
Hi,
To answer your questions:
I would to extract top hub genes for a given module. Suppose I want top 100.
You can run this code:
GetHubGenes(seurat_obj, n_hubs=100)
Can I set a threshold to take only the most representative hub genes?
Yes you can but I do not have advice about what that threshold should be, you will have to decide based on your own data.
sorry again, I noticed that when I use gethubgenes() the data frame produced contains the top -say- 25 genes with highest kME. But they are in increasing order, so the top one has smaller kME:
Thank you for pointing this out, I understand how this could be potentially misleading. I have updated this function to output the results in decreasing order from largest to smallest.
Hello, I would to extract top hub genes for a given module. Suppose I want top 100. I noticed that the list I get Is not sorted in decreasing order (sometimes yes, other times Is reverted) and the Kmes score Is different. i mean, genes of a module with Kmes = 0.05 could be not considered specific for that module.. Can I set a threshold to take only the most representative hub genes?