designed softwares
| Name | Data | Intro | Availability | Coding |
| POWSC | scRNA-seq | Simulation, power evaluation, and sample size recommendation | [Github] [Bioconductor] | R |
| FEAST | scRNA-seq | Accurate feature selection for clustering | [Github] [Bioconductor] | R, C |
| POWCLUST | scRNA-seq | Rare cell type power evaluation for clustering | [Github] [Bioconductor] | R |
| iPath | RNA-seq | Individual-level pathways analysis for detecting prognosis | [Bioconductor] [Shinyapp] | R, C++(core) | NetAct | RNA-seq | TF-gene regulatory network construction | [Github] | R, C++(core) | HOPE2Net | SRT | Deep learning network for predicting genes and pathways | [Github] | Python, Torch | Psalms | SRT | Spatial transcriptomics data imputation and de-noising | [Github] | Python, Torch, pyro |
scRNA-seq: Single-cell RNA sequencing. SRT: Spatially Resolved Transcriptomics.