This is an R program to visualize and analyze -omics data such as those from microarray, metabolomics and proteomics experiments. Next-generation sequencing such as RNA-Seq and single-cell RNA-Seq analyses are to be supported in the future. The input of this program is intensity or count data supplied in a list or table along with parameter settings, all in an Excel file. The output is an Excel file with figures and analysis result sheets.
6. Interested_and_Excluded_Features: If you supply a list of features e.g. significant features by differential intensity tests, the program can generate plots and result sheet for selected features only. The program can also exclude features from analysis if you supply a list. This example shows you how to specify those lists.
7. List_Data: The program supports raw data in a table (features in rows and samples in columns) or list (features, samples, and values each in a column). While the above examples are all in the table format, this example shows you how to supply data in the list format.
Contact [Zhiyu Zhao](mailto:zhiyu.zhao@utsouthwestern.edu) for comments / questions / suggestions.
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Contact [Zhiyu Zhao](mailto:zhiyu.zhao@utsouthwestern.edu) for comments / questions / suggestions.
