BioinformaticsbioRxivPreprint
An algorithm that combines machine learning ensemble modeling and network analysis to predict self-tolerant tumor-associated antigens for anti-cancer immunotherapy
Christopher Lischer, Martin Eberhardt, Adrian Weich, Julio Vera
The paper presents a computational pipeline that combines machine learning and network analysis to predict self-tolerant tumor-associated antigens for immunotherapy in uveal melanoma.
DOI 10.1101/2023.02.09.527464