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Data mining from start to finish -- processing data, performing statistics, predictive analytics, machine learning and visualization to help you turn your data into information and make decision.
Developing scripts and packages in R to simplify your workflow and automate data-related tasks including R package and R Shiny application development.
Cancer genomic data analysis, including differential expression analysis, NGS data processing, pathway enrichment analysis and visualization, survival analysis, patients' molecular classification for precision medicine.
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