Supporting Data from: Physically Constrained Mass Spectrometry Data Binning on Multi-Platform Untargeted Metabolomics Data Reveals Generic Biomarkers for Hepatocellular Carcinoma
收藏资源简介:
§ Supporting file 1 A spreadsheet recording numerous iterations for hyperparameter tuning for logistic regression model. § Supporting file 2 A spreadsheet recording numerous iterations for hyperparameter tuning for linear Support Vector Classifier model. § Supporting file 3 A spreadsheet recording numerous iterations for hyperparameter tuning for gradient boosting model. § Supporting file 4 A spreadsheet recording numerous iterations for hyperparameter tuning for eXtreme Gradient Boosting model. § Supporting file 5 A spreadsheet recording numerous iterations for hyperparameter tuning for decision tree. model. § Supporting file 6 A spreadsheet recording numerous iterations for hyperparameter tuning for random forest model. § Supporting dataset 1 A zip collection of DESI-MSI raw data for the trainging dataset. § Supporting dataset 2 A zip collection of DESI-MSI raw data for the external dataset used for data ingestion. § Supporting dataset 3 A zip collection of MS raw data for the fine-needle aspiration smear DESI-MSI dataset. § Supporting dataset 4 A zip collection of MS raw data for the direction infusion dataset. § Supporting dataset 5 A zip collection of DESI-MSI raw data for the clinical dataset. § Supporting dataset 6 A zip collection of MS raw data for all the background and QC analyses in this study.



