Bioinformatic analysis constructs an optimal prognostic index for survival-related variables (OPISV) based on whole-genome expression data in Glioblastoma

Abstract excerpt

Using clinical information and transcriptomic sequencing data from glioblastoma (GBM) patients in the TCGA database to perform gene-by-gene analysis that is aligned with individual patient characteristics and develop an o ptimal p rognostic i ndex of s urvival-related v ariables (OPISV) through iterative machine learning techniques to predict the prognosis of GBM patients. The TCGA dataset was utilized as the...

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