Disease classification via gene network integrating modules and pathways
| Autor: | Zhiming Zheng, Ziqiao Yin, Jiahui Li, Zhilong Mi, Binghui Guo |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
Focus (computing) Multidisciplinary Computer science modules pathways Gene regulatory network disease classification Disease classification Foundation (evidence) Genetics and Genomics Precision medicine Data science 03 medical and health sciences 0302 clinical medicine gene network lcsh:Q lcsh:Science 030217 neurology & neurosurgery 030304 developmental biology Research Article |
| Zdroj: | Royal Society Open Science Royal Society Open Science, Vol 6, Iss 7 (2019) |
| ISSN: | 2054-5703 |
| Popis: | Disease classification based on gene information has been of significance as the foundation for achieving precision medicine. Previous works focus on classifying diseases according to the gene expression data of patient samples, and constructing disease network based on the overlap of disease genes, as many genes have been confirmed to be associated with diseases. In this work, the effects of diseases on human biological functions are assessed from the perspective of gene network modules and pathways, and the distances between diseases are defined to carry out the classification models. In total, 1728 diseases are divided into 12 and 14 categories by the intensity and scope of effects on pathways, respectively. Each category is a mix of several types of diseases identified based on congenital and acquired factors as well as diseased tissues and organs. The disease classification models on the basis of gene network are parallel with traditional pathology classification based on anatomic and clinical manifestations, and enable us to look at diseases in the viewpoint of commonalities in etiology and pathology. Our models provide a foundation for exploring combination therapy of diseases, which in turn may inform strategies for future gene-targeted therapy. |
| Databáze: | OpenAIRE |
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