2026-10-10T17:38:03Z https://www.scidb.cn/oai

10.57760/sciencedb.43154 2026-07-28T14:37:34Z

2026-07-28 Pathomics analysis dataset for METTL5 expression and prognosis prediction in lung adenocarcinoma (LUAD) doi:10.57760/sciencedb.43154 en This dataset accompanies a pathomics study of METTL5 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. LUAD; METTL5; pathomics; digital pathology; prognosis; GBM; TCGA CHENXU EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank