Biomarker discovery process at binomial decision point (2BDP): Analytical pipeline to construct biomarker panel.

ABSTRACT: A clinical incident is typically manifested by several molecular events; therefore, it seems logical that a successful diagnosis, prognosis, or stratification of a clinical landmark require multiple biomarkers. In this report, we presented a machine learning pipeline, namely "Biomarker discovery process at binomial decision point" (2BDP) that took an integrative approach in systematically curating independent variables (e.g., multiple molecular markers) to explain an output variable (e.g., clinical landmark) of binary in nature. In a logical sequence, 2BDP includes feature selection, unsupervised model development and cross validation. In the present work, the efficiency of 2BDP was demonstrated by finding three biomarker panels that independently explained three stages of Alzheimer's dise

SUBMITTER: Chakraborty N 

PROVIDER: S-EPMC10562676 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature