Linked e-resources

Details

Statistical and Machine Learning Methods for Cancer Research Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-Examinations
Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Omics Data Integration and Ensemble Learning
The Role of Hydrophobicity in Peptide-MHC Binding
Spatio-temporal tumor modeling and simulation Simulating cytotoxic T-lymphocyte & cancer cells interactions : An LSTM-based approach to surrogate an agent-based model
General cancer computational biology Strategies to reduce long-term drug resistance by considering effects of differential selective treatments
Mathematical Modeling for Cancer Research Improved Geometric Configuration for the Bladder Cancer BCG-based Immunotherapy Treatment Model
Computational methods for anticancer drug development Run for your life
an integrated virtual tissue platform for incorporating exercise oncology into immunotherapy.

Browse Subjects

Show more subjects...

Statistics

from
to
Export