Improved prediction of MHC-peptide binding using protein language models
Major histocompatibility complex Class I (MHC-I) molecules bind to peptides derived from
intracellular antigens and present them on the surface of cells, allowing the immune system …
intracellular antigens and present them on the surface of cells, allowing the immune system …
ITNR: Inversion Transformer-based Neural Ranking for cancer drug recommendations
S Sotudian, IC Paschalidis - Computers in Biology and Medicine, 2024 - Elsevier
Personalized drug response prediction is an approach for tailoring effective therapeutic
strategies for patients based on their tumors' genomic characterization. While machine …
strategies for patients based on their tumors' genomic characterization. While machine …
Robust learning to rank models and their biomedical applications
S Sotudian - 2023 - search.proquest.com
There exist many real-world applications such as recommendation systems, document
retrieval, and computational biology where the correct ordering of instances is of equal or …
retrieval, and computational biology where the correct ordering of instances is of equal or …
Chance-Constrained Optimization: Applications in Game Theory and Markov Decision Processes
HN Nguyen - 2023 - theses.hal.science
Chance-constrained optimization is a powerful mathematical framework that addresses
decision-making problems in the presence of uncertainty. It provides a systematic approach …
decision-making problems in the presence of uncertainty. It provides a systematic approach …