Sijie Chen

Results 35 issues of Sijie Chen

to my knowledge, there are. such as sergio, etc

![image](https://user-images.githubusercontent.com/18084613/159922376-455d4e8c-9461-49f7-9996-c8d81ee6fbd5.png) I got this result after integrating smart-seq and 10x data of heart cells, can you tell me what parameters could be tuned to avoid this? before integration ![image](https://user-images.githubusercontent.com/18084613/159922581-a6846196-7930-4f6a-83b5-a33ee844b579.png) codes:...

![image](https://user-images.githubusercontent.com/18084613/128699389-bb11f6b7-fad8-41ed-aab9-61a9a7dd5c96.png) Dear authors, thanks for you nice tool. I met a problem when integrating 6 samples. The loss did not drop but increased in the second iteration, and then converged...

### Prerequisites + [ ] Have you read [Feedback](https://guangchuangyu.github.io/clusterprofiler/#feedback) and follow the [guide](https://guangchuangyu.github.io/2016/07/how-to-bug-author/)? * [x] make sure your are using the latest release version * [x] read the [documents](https://guangchuangyu.github.io/clusterprofiler/documentation/) *...

Dear authors, I tried `'full reg'/ 'full eff'` modes in the `dyn.vf.rank_jacobian_genes()` function ``` full_reg_rank = dyn.vf.rank_jacobian_genes(abm2, groups='ann0608', mode="full reg", abs=False, output_values=True, return_df=True) full_eff_rank = dyn.vf.rank_jacobian_genes(abm2, groups='ann0608', mode='full eff', abs=False,...

bug

Changes: 1. add **kwargs for the leiden(), louvain(), infomap() function calls in dyn.vf.cluster_field(), otherwise the function can only use default resolution settings 2. add a `resolution` parameter explicitly so users...

it seems that the current implementation of curvature() and acceleration() only insert a new layer when `basis=pca` I calculated the acceleration using umap and ran the rank test ``` dyn.vf.acceleration(adata,...

question

Dear developers, In Seurat's differentially expressed gene analysis function FindMakers(), there are "ident.1" "ident.2" parameters specifying group 1 vs group2. With these settings, users could flexibly compare customized two groups'...

question

The document says that by specifying 'group' it enable estimating group-specific kinetics parameters. Is it an implementation similar to the scvelo "Differential Kinetics" (https://scvelo.readthedocs.io/DifferentialKinetics/)? If yes, should I run similar...

help wanted