scRank
scRank copied to clipboard
ZJUFanLab
A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic dat...
Hello, Dear author, I still don't understand many things in this tutorial, but my programming level is limited. Can I ask you to produce a detailed tutorial to explain the...
Dear authors, Thanks for your amazing tools of scRank! May I have your guidance that if the results should mainly focus on the **rank** or the **perb_score**? _ > As...
What's going on when I get the following error when I use the use_py parameter?  All software involved in the code has been installed.
Dear author, hello, My drug has multiple targets (more than three). How do I find the cell type that this drug acts on? 
Hello! When I run the code in tutorial: _4. Visualize the result,_ , it has a problem: _could not find function "init_obj"_ and _Error in plot_net(obj4, mode = "heatmap", cell_type...
Hello! scRank provides a valuable method for accurately identifying key cell types responsible for drug treatment. I would like to know if the scRank method can also be used to...
Dear scRank Authors, Thank you for developing scRank and sharing it with the community. I have been reading your recent paper "scRank infers drug-responsive cell types from untreated scRNA-seq data...
Hi scRank team, Thank you for developing this very interesting tool. For my scRNA-seq, I have the same cells treated by four different conditions. Now I want to compare the...
亲爱的作者， 您好， 在我的一个实验设计中，我们测序了WT组以及经药物治疗的组别，我想使用scRank探究药物的作用，我应该分组别进行分析然后量化差异比较吗？亦或者应该怎样呢？ 求回复O(∩_∩)O~
