A link prediction approach to cancer drug sensitivity prediction.

ABSTRACT:

Background

Predicting the response to a drug for cancer disease patients based on genomic information is an important problem in modern clinical oncology. This problem occurs in part because many available drug sensitivity prediction algorithms do not consider better quality cancer cell lines and the adoption of new feature representations; both lead to the accurate prediction of drug responses. By predicting accurate drug responses to cancer, oncologists gain a more complete understanding of the effective treatments for each patient, which is a core goal in precision medicine.

Results

In this paper, we model cancer drug sensitivity as a link prediction, which is shown to be an effective technique. We evaluate our proposed link prediction algorithms and compare them with an

SUBMITTER: Turki T 

PROVIDER: S-EPMC5629619 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature