A Computational Solution To Improve Biomarker Reproducibility During Long-term Projects
F. Feng, M. P. Thompson, B. E. Thomas, E. R. Duffy, J. Kim, S. Kurosawa, J. Y. Tashjian, Y. Wei, C. Andry, D. J. Stearns-Kurosawa
The paper develops a computational solution to improve biomarker reproducibility across ELISA kit lots in long-term projects by modeling standard curve shifts and adjusting data accordingly.
bioRxiv · Dec 6, 2018Pathology