- You should download the expression data and clinical in advanced.
- Make sure you download the correct metadata.cart.json file on TCGA webpage. In this program will use .json to convert the expression file name. e.g: Project: TCGA-STAD, Data Category: Transcriptome Profiling, Data Type: miRNA-Seq. ##Download on the TCGA page. Should setting correct.
- You should check wether the the column index is the data you want in the clinical.csv data. (Surival,Stage) In different project may arrange a little differenet. Setting at line #45.
- Before running the program you should setting the correct absolute path in the specific place.
- The miRNA/gene expression default is RPKM and takeing log2 in advanced if you don't need that or you need the read count you can change by yourself.(Line #88, 95)
- I update the program to the user input mode. When you run the program it will ask you to input the specific data file name with absolute path.
- I upload a R language program about dowaload the raw TCGA data(Gene/miRNA expression and clinical).(TCGA-DLBC)
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Use this program can let user quickly combine the miRNA/Gene expression and clinical data. Speed up the data preprocessing step.
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