IBI: Identification of Biomarker Genes of Individual Tumor Sample
- 1Harbin Institute of Technology, China
Individual patient biomarker plays an important role in personalized treatment. Although various high-throughput sequencing technologies are widely used in biological experiments, high-throughput biological experiment is usually conducted once or few for a single patient, which makes it a challenging problem to identify biomarker of individual patient. At present, there is still a lack of effective methods to identify biomarker of individual sample data. Here, we proposed a novel method called IBI to identify biomarker of individual tumor sample. Experimental results on several tumor data sets showed that the proposed method can effectively find biomarker genes of individual patient, the common biomarkers which are related with the mechanism of development of cancer and can predict survival risk and drug response of different tumor patients. In summary, these results demonstrate that the proposed method offers a new perspective for analyzing individual sample.
Keywords: biomarker, Individual sample, tumor, Regression model, Gene expression data
Received: 17 Oct 2019;
Accepted: 07 Nov 2019.
Copyright: © 2019 Li, Wang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mx. Jie Li, Harbin Institute of Technology, Harbin, China, email@example.com