binbinZhao2017
PhD student working on pediatric cancer immunology
Karolinska InstitutetStockholm, Sweden
Pinned Repositories
Guideline-for-Computational-Biology-and-Bioinformatics
Machine_learning_by_hsstan_healthcareai
machine_learning_by_tidymodels
ML_medbioinfo
Machine Learning in Medical Bioinformatics
pipelines_for_16s_rna
rna_seq_analysis
scripts_of_WGS_and_data_visualization
Signatures-Manuscript
Mutational Signatures extraction - Pediatric cancers
TCGAplot
A number of functions were generated to perform pan-cancer DEG analysis, correlation analysis between gene expression and TMB, MSI, TIME, and promoter methylation. Methods for visualization were provided in order to easily perform integrative pan-cancer multi-omics analysis.
shiny-server
Host Shiny applications over the web.
binbinZhao2017's Repositories
binbinZhao2017/Guideline-for-Computational-Biology-and-Bioinformatics
binbinZhao2017/Machine_learning_by_hsstan_healthcareai
binbinZhao2017/machine_learning_by_tidymodels
binbinZhao2017/ML_medbioinfo
Machine Learning in Medical Bioinformatics
binbinZhao2017/pipelines_for_16s_rna
binbinZhao2017/rna_seq_analysis
binbinZhao2017/scripts_of_WGS_and_data_visualization
binbinZhao2017/Signatures-Manuscript
Mutational Signatures extraction - Pediatric cancers
binbinZhao2017/TCGAplot
A number of functions were generated to perform pan-cancer DEG analysis, correlation analysis between gene expression and TMB, MSI, TIME, and promoter methylation. Methods for visualization were provided in order to easily perform integrative pan-cancer multi-omics analysis.