Identifying Gastric Cancer Related Genes Using the Shortest Path Algorithm and Protein-Protein Interaction Network

المؤلفون المشاركون

Jiang, Yang
Ren, Hui
Shu, Yang
Shi, Ying
Yuan, Fei
Li, Li-Peng

المصدر

BioMed Research International

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-03-05

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

الطب البشري

الملخص EN

Gastric cancer, as one of the leading causes of cancer related deaths worldwide, causes about 800,000 deaths per year.

Up to now, the mechanism underlying this disease is still not totally uncovered.

Identification of related genes of this disease is an important step which can help to understand the mechanism underlying this disease, thereby designing effective treatments.

In this study, some novel gastric cancer related genes were discovered based on the knowledge of known gastric cancer related ones.

These genes were searched by applying the shortest path algorithm in protein-protein interaction network.

The analysis results suggest that some of them are indeed involved in the biological process of gastric cancer, which indicates that they are the actual gastric cancer related genes with high probability.

It is hopeful that the findings in this study may help promote the study of this disease and the methods can provide new insights to study various diseases.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Jiang, Yang& Shu, Yang& Shi, Ying& Li, Li-Peng& Yuan, Fei& Ren, Hui. 2014. Identifying Gastric Cancer Related Genes Using the Shortest Path Algorithm and Protein-Protein Interaction Network. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-466751

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Jiang, Yang…[et al.]. Identifying Gastric Cancer Related Genes Using the Shortest Path Algorithm and Protein-Protein Interaction Network. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-466751

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Jiang, Yang& Shu, Yang& Shi, Ying& Li, Li-Peng& Yuan, Fei& Ren, Hui. Identifying Gastric Cancer Related Genes Using the Shortest Path Algorithm and Protein-Protein Interaction Network. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-466751

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-466751