IBI: Identification of Biomarker Genes in Individual Tumor Samples

2Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

Individual patient biomarkers have an important role in personalized treatment. Although various high-throughput sequencing technologies are widely used in biological experiments, these are usually conducted only once or a few times for each patient, which makes it a challenging problem to identify biomarkers in individual patients. At present, there is a lack of effective methods to identify biomarkers in individual sample data. Here, we propose a novel method, IBI, to identify biomarkers in individual tumor samples. Experimental results from several tumor data sets showed that the proposed method could effectively find biomarker genes for individual patients, including common biomarkers related to the mechanisms of the development of cancer, which can be used to predict survival and drug response in patients. In summary, these results demonstrate that the proposed method offers a new perspective for analyzing individual samples.

Cite

CITATION STYLE

APA

Li, J., Wang, D., & Wang, Y. (2019). IBI: Identification of Biomarker Genes in Individual Tumor Samples. Frontiers in Genetics, 10. https://doi.org/10.3389/fgene.2019.01236

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free