CANCER SUBTYPING
- SCFA: subtyping and risk prediction
– GitHub: https://github.com/duct317/SCFA
– Bioconductor: https://bioconductor.org/packages/SCFA/ - PINSPlus: subtyping and big data analysis
– CRAN: https://CRAN.R-project.org/package=PINSPlus - SMRT: subtyping and big data analysis
– Web application: https://tinnguyen-lab.com/software/SMRT/
– CRAN: https://CRAN.R-project.org/package=PINSPlus
DATABASE
- FAT-PTM: examining post-translational modification in plants
– Web application: https://tinnguyen-lab.com/fat-ptm/ - ThYme: A comprehensive database of the Thioester-active enzYmes
– Web application: https://thyme.engr.unr.edu/v2.0/
PATHWAY & INTEGRATION
CPA: Consensus pathway analysis and interactive pathway visualization
– Web application: https://tinnguyen-lab.com/software/cpa/
– CRAN: https://CRAN.R-project.org/package=RCPA
– Tutorial: https://storage.googleapis.com/nosi-gcloud-course/html/intro.htmlBLMA: a suit of tools for bi-level meta-analysis
– Bioconductor: https://bioconductor.org/packages/release/bioc/html/BLMA.html
SINGLE-CELL ANALYSIS
scCAN: single-cell clustering using autoencoder and network fusion
– Publication: https://www.nature.com/articles/s41598-022-14218-6
– CRAN: https://CRAN.R-project.org/package=scCANscISR: A novel method for single-cell data imputation using subspace regression
– Publication: https://www.nature.com/articles/s41598-022-06500-4
– CRAN: https://cran.r-project.org/package=scISRscDHA: Fast and precise single-cell data analysis using a hierarchical autoencoder
– Publication: https://www.nature.com/articles/s41467-021-21312-2
– CRAN: https://CRAN.R-project.org/package=scDHA