期刊
JOURNAL OF THEORETICAL BIOLOGY
卷 362, 期 -, 页码 9-16出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2014.06.007
关键词
Diseasome; Dysfunctional module; Dysregulated pathway; Interactome; Regulatome
资金
- National Natural Science Foundation of China [61100157, 91130032, 61103075]
- Innovation Program of Shanghai Municipal Education Commission [13ZZ072]
- Shanghai Pujiang Program [13PJD032]
- China Postdoctoral Science Foundation [2013M540386]
The disease biomarkers can help make accurate diagnosis and therefore give appropriate interventions. In the past years, the accumulation of various kinds of 'omics' data, e.g. genomics and transcriptomics, makes it possible to identify disease biomarkers in a more efficient way. In particular, the molecular networks that describe the functional relationships among molecules enable the identification of disease biomarkers from a systematic perspective. In this paper, we surveyed the recent progress on the computational approaches that have been developed to identify disease biomarkers based on molecular networks. In addition, we introduced the popular resources about human interactomes and regulatomes as well as human diseasomes, whose availability makes it possible to predict the disease biomarkers with the utility of networks. (C) 2014 Elsevier Ltd. All rights reserved.
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