MSIPep prioritizes tumor peptides in leukemia and solid-tumor datasets
MSIPep combines immunopeptidomics, transcriptomics and deep learning to identify and computationally prioritize candidate tumor peptides in leukemia and solid-tumor datasets.
MSIPep combines immunopeptidomics, transcriptomics and deep learning to identify and computationally prioritize candidate tumor peptides in leukemia and solid-tumor datasets.
Researchers have launched SPAID, a comprehensive database that maps both canonical and non-canonical candidate autoantigens across 14 autoimmune diseases by ...
In the realm of immunology, the search for effective vaccines against infectious diseases and cancer has led to the exploration ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine