In-silico prediction of blood-secretory human proteins using a ranking algorithm

摘要

BackgroundComputational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful information in linking transcriptomic data to proteomic studies for targeted disease biomarker discovery in serum.