An ensemble based top performing approach for NCI-DREAM drug sensitivity prediction challenge

Q Wan, R Pal - PloS one, 2014 - journals.plos.org
We consider the problem of predicting sensitivity of cancer cell lines to new drugs based on
supervised learning on genomic profiles. The genetic and epigenetic characterization of a …

A new approach for prediction of tumor sensitivity to targeted drugs based on functional data

N Berlow, LE Davis, EL Cantor, B Séguin, C Keller… - BMC …, 2013 - Springer
Background The success of targeted anti-cancer drugs are frequently hindered by the lack of
knowledge of the individual pathway of the patient and the extreme data requirements on …

An integrated approach to anti-cancer drug sensitivity prediction

N Berlow, S Haider, Q Wan, M Geltzeiler… - … ACM transactions on …, 2014 - ieeexplore.ieee.org
A framework for design of personalized cancer therapy requires the ability to predict the
sensitivity of a tumor to anticancer drugs. The predictive modeling of tumor sensitivity to anti …

Iterative sure independent ranking and screening for drug response prediction

B An, Q Zhang, Y Fang, M Chen, Y Qin - BMC Medical Informatics and …, 2020 - Springer
Background Prediction of drug response based on multi-omics data is a crucial task in the
research of personalized cancer therapy. Results We proposed an iterative sure …

Machine learning model for breast anticancer drug sensitivity prediction from gene expression

S Dawood, A Dawood, T Saba… - 2022 Fifth International …, 2022 - ieeexplore.ieee.org
Therapeutic action of drugs and their potential mechanisms provide an important basis for
precision medicine. Cancer cell lines and drug sensitivities associated with different …

Bayesian matrix factorisation: inference, priors, and data integration

TA Brouwer - 2017 - repository.cam.ac.uk
In recent years the amount of biological data has increased exponentially. Most of these
data can be represented as matrices relating two different entity types, such as drug-target …

Anti-cancer drug sensitivity modeling using genomic characterization and functional data

SMJ Haider - 2015 - ttu-ir.tdl.org
A framework for design of personalized cancer therapy requires the ability to predict the
sensitivity of a tumor to anti-cancer drugs. The predictive modeling of tumor sensitivity to anti …

Computational approaches to drug sensitivity prediction and personalized cancer therapy

NE Berlow - 2015 - ttu-ir.tdl.org
This dissertation represents the accumulated research in the field of Personalized Cancer
Therapy performed as a Graduate Student at Texas Tech University. This research has …