Using Paired Tissue and Serum Samples to Characterize Human Lung Cancer Metabolomics with ex vivo 1H HRMAS MRS

Keywords

access added advanced agrees allowing although amount analyses analyze analyzed applying asymptomatic audience binned build cancer cartilage cell cells characterize clinical control controller cooled cross cycles dataset datasets destructively diagnosis disease distances earlier effective equal error exclude feasible feature features female fibrosis field filter fixed former fraction gender general good hazards health histological house identified identify implications in vivo inflammation intact inter laboratory lasso linear listed locking lung magic male many mark markers matched model models necrosis never numerous often operating optimal paired pathologist patient patients peak peaks predict predicted predictive preliminary probability procedure profiles prognosis program pulse quantitative radiation randomly readings reduce regularized regulated related repetition resolution rotor sample samples school screening search sections select selected selection serum sets shrinkage significantly smallest space spectra spectrometer spectroscopy spectrum spinning split stability stage stained status structures studies subsequently suspicious table target tissue tools traditional transients treatment tuned turn underway validation validations women year years