| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 504777 | Computers in Biology and Medicine | 2016 | 5 Pages |
•Node in disease–disease network is a disease and edge explain similarity.•We constructed an integrated disease network using different features of diseases.•We extracted a cancer-related subnetwork of IHDN, named cancerome.•For reach a useful network we need consider all features of a biological systems.
Neoplastic disorders are a leading cause of mortality and morbidity worldwide. Studying the relationships between different cancers using high throughput-generated data may elucidate undisclosed aspects of cancer etiology, diagnosis, and treatment. Several studies have described relationships between different diseases based on genes, proteins, pathways, gene ontology, comorbidity, symptoms, and other features. In this study, we first constructed an integrated human disease network based on nine different biological aspects, including molecular, functional, and clinical features. Next, we extracted the cancerome as a cancer-related subnetwork. Further investigation of cancerome could reveal hidden mechanisms of cancer and could be useful in developing new diagnostic tests and effective new drugs.
