MIMG 5215 R Programming for Biomedical Sciences

2 SCH. R is traditionally a statistics and graphing platform but it becomes a very popular tool for data sciences. Nowadays, biological and biomedical sciences routinely require analyses of large and complex data sets (for examples, RNA-seq, ChIP-seq, scRNA-seq, ATAC-seq, and others). Therefore, R becomes an essential tools in biomedical sciences for data management, processing, statistics, visualization, and communication. This course will introduce students with basics R concepts (for examples, objects, functions, vectors, data frames, lists, factors, packages, operators, and others). Basic R skills will be introduced (for examples, generating and operating R objects, vectors, data frames; input and output data to and from R; install and load R packages; plotting and visualization of data, and others). This course will integrates real biological/biomedical data for students to sovle real life problems (for examples, generating box plots, violine plots, RNA-seq heat maps; annotating RNA-seq results, subsetting an RNA-seq data frame, and others).

Offered Fall
Pass/No Pass