Statistical analysis and graphics generation were performed using the programming language R. Expression data were preprocessed by background subtraction and subsequent sample normalization. For sample normalization, the 20 panel genes with the lowest coefficient of variation and an expression level of at least 100 in The Cancer Genome Atlas (TCGA) lung adenocarcinoma (LUAD) dataset were used as housekeepers (AKT1, API5, DNAJC14, EIF2B4, ELA, ERCC3, GLUD1, HDAC3, HMGB1, IFNAR1, MLH1, OAZ1, PUM1, RIPK1, SF3A1, STAT3, TBC1D10B, TLK2, TMUB2, and UBB). The gene expression profile of each sample was scaled by the median expression level of these housekeeping genes. Gene expression data were log2-transformed prior to statistical analysis.

Note: The content above has been extracted from a research article, so it may not display correctly.

Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.

We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.