GEPIA2 allows users to apply custom statistical methods and thresholds on a given dataset to dynamically obtain differentially expressed genes/isoforms and their chromosomal distribution.
Given a cancer type, the genes or isoforms most associated with patient survival can be searched.
The cancer subtype classifier takes an RNA-seq profile and makes a prediction.
For analyzing the user-upload data, GEPIA2 enables users compare their own data with TCGA and GTEx data.
This feature provides expression matrix plots based on a given gene list.
This function provides pair-wise gene/isoform/signature expression correlation analysis for given sets of TCGA and/or GTEx expression data.
Given a gene list, GEPIA2 performs Principal Component Analysis (PCA) using custom TCGA and/or GTEx expression data.