Heterogeneity aware random forest for drug sensitivity prediction
Samples collected in pharmacogenomics databases typically belong to various cancer
types. For designing a drug sensitivity predictive model from such a database, a natural …
types. For designing a drug sensitivity predictive model from such a database, a natural …
Combination therapy design for maximizing sensitivity and minimizing toxicity
Multiple drugs taken together has been shown to be an effective treatment for complex
diseases such as cancer. In particular, it has been demonstrated to be effective in combating …
diseases such as cancer. In particular, it has been demonstrated to be effective in combating …
Generating hard-to-obtain information from easy-to-obtain information: applications in drug discovery and clinical inference
Often when biological entities are measured in multiple ways, there are distinct categories of
information: some information is easy-to-obtain information (EI) and can be gathered on …
information: some information is easy-to-obtain information (EI) and can be gathered on …
A mathematical framework for analyzing drug combination toxicity for personalized medicine applications
The use of drug combinations to increase efficacy and lower resistance to therapy for
personalized cancer medicine is being commonly recognized. Approaches have been …
personalized cancer medicine is being commonly recognized. Approaches have been …
Anti-cancer drug sensitivity predictive modeling for improvement of precision medicine using machine learning algorithms
R Rahman - 2019 - ttu-ir.tdl.org
Precision medicine entails the design of therapies that are matched for each individual
patient. Thus, predictive modeling of anti-cancer drug responses for specific patients …
patient. Thus, predictive modeling of anti-cancer drug responses for specific patients …
Algorithms addressing heterogeneity in anti-cancer drug sensitivity prediction studies
K Matlock - 2018 - ttu-ir.tdl.org
This manuscript is the accumulation of several years of knowledge gained by studying
computational models for improving the efficacy of personalized medicine. There are an …
computational models for improving the efficacy of personalized medicine. There are an …