Pathomics analysis dataset for METTL5 expression and prognosis prediction in lung adenocarcinoma (LUAD)

It provides organized source data and analysis outputs for ScienceDB deposition, including experimental documentation, TCGA-derived clinical and molecular tables, pathomics feature matrices, train/test splits, gradient boosting machine (GBM) model development and performance evaluation, pathomics score (PS)–based survival and Cox analyses, and mechanism analyses (GSVA/KEGG pathways, immune-related genes, immune infiltration, and tumor mutational burden).

Publication figures (Figures 1–15), tables (Tables 1–6), and representative whole-slide image (WSI) overview/tile examples are also included. Files are organized into English-named folders with a README and an MD5 file manifest to support reuse, verification, and reproducibility.