Network-based machine learning approach to predict immunotherapy response in cancer patients
Immune checkpoint inhibitors (ICIs) have substantially improved the survival of cancer
patients over the past several years. However, only a minority of patients respond to ICI …
patients over the past several years. However, only a minority of patients respond to ICI …
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is
essential for improving therapeutic outcomes. However, current machine-learning-based …
essential for improving therapeutic outcomes. However, current machine-learning-based …
COMPUTATIONAL AND BIOCHEMICAL APPROACHES FOR THE PREDICTION AND CHARACTERIZATION OF DNA REPAIR SYNERGY IN CANCERS
JM Gast - 2021 - hammer.purdue.edu
This thesis Cancer is the second leading cause of death in the modern world, only trailing
congestive heart disease. Many factors contribute to the mortality rate, including the diversity …
congestive heart disease. Many factors contribute to the mortality rate, including the diversity …
Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction
N Vergara Lope Gracia - 2021 - eprints.soton.ac.uk
Next-generation sequencing (NGS) help to identify disease-causing genes underlying any
given monogenic or complex disease. Concurrently, mathematical tools and statistical …
given monogenic or complex disease. Concurrently, mathematical tools and statistical …