VaxOptiML: leveraging machine learning for accurate prediction of MHC-I and II epitopes for optimized cancer immunotherapy.

Autor: T D; Department of Biotechnology, School of Applied Sciences, REVA University, 560064, Bengaluru, India., G SB; Department of Biotechnology, School of Applied Sciences, REVA University, 560064, Bengaluru, India., Hebbar SR; School of Computer Science and Applications, REVA University, 560064, Bengaluru, India., Selvam PK; Manipal Academy of Higher Education (MAHE), 576104, Manipal, India.; Institute of Bioinformatics, International Technology Park, 560066, Bangalore, India., Vasudevan K; Manipal Academy of Higher Education (MAHE), 576104, Manipal, India. karthick@ibioinformatics.org.; Institute of Bioinformatics, International Technology Park, 560066, Bangalore, India. karthick@ibioinformatics.org.

Publikováno v: Immunogenetics [Immunogenetics] 2024 Dec 07; Vol. 77 (1), pp. 8. Date of Electronic Publication: 2024 Dec 07.