BIOMARKERS FOR DETERMINING A CANCER DISEASE STATE, RESPONSE TO IMMUNO-ONCOLOGY, STAGES OF FIBROSIS IN NON-ALCOHOLIC STEATOHEPATITIS, OR APPLICATION OF AGE OR SEX RELATED BIOMARKER PANEL FOR QUALITY CONTROL
BIOMARKERS FOR DETERMINING A CANCER DISEASE STATE, RESPONSE TO IMMUNO-ONCOLOGY, STAGES OF FIBROSIS IN NON-ALCOHOLIC STEATOHEPATITIS, OR APPLICATION OF AGE OR SEX RELATED BIOMARKER PANEL FOR QUALITY CONTROL
Provided herein are methods, devices, and kits for identifying glycosylated polypeptide biomarkers and signatures for progression of a disease or a condition, such as cancer or NASH, or and response of the disease or condition to a treatment. Also provided herein are: i) methods of generating and analyzing glycosylated polypeptide biomarkers, ii) methods of validating a model using glycosylated polypeptides for predicting the disease or condition or for making treatment recommendation, iii) systems and methods for implementing QC of a cohort of samples by analyzing peptide structure data for each sample using a machine learning model to generate a predicted age and/or sex associated for each sample. The quality control issue may include an error of mislabeled samples or an error from sample preparation, or a systemic measurement or an instrument error.