Code and data for: Integrated Transcriptomic and Machine Learning Analysis Identifies a Multi-Gene Prognostic Signature for Risk Stratification in Adrenocortical Carcinoma
\This archive contains the analysis code and public input files used for transcriptomic and survival analyses reported in a study of a three-gene prognostic signature in adrenocortical carcinoma. It includes a 77-patient TCGA-ACC discovery workflow with fully nested leave-one-out cross-validation and external evaluation in GEO cohorts GSE10927 and GSE19750. The package contains project-relative Python and R scripts, public input datasets, selected legacy comparison outputs, and run instructions. The authors generated and independently cross-checked the reported results in R (survival/glmnet); MIT applies to code only, while bundled public dat
Resource information
- Format
- zip
- Original repository
- 23802139
- DOI
- 10.5281/zenodo.23802139
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- mit-license
- Last record update
- Nov 5, 2026
About this resource
\This archive contains the analysis code and public input files used for transcriptomic and survival analyses reported in a study of a three-gene prognostic signature in adrenocortical carcinoma. It includes a 77-patient TCGA-ACC discovery workflow with fully nested leave-one-out cross-validation and external evaluation in GEO cohorts GSE10927 and GSE19750. The package contains project-relative Python and R scripts, public input datasets, selected legacy comparison outputs, and run instructions. The authors generated and independently cross-checked the reported results in R (survival/glmnet); MIT applies to code only, while bundled public datasets remain under their original terms, and no controlled-access data are included.