background: although physical activity (pa) has long been associated with cardiovascular disease (cvd), assessment of pa status has never been used as a part of cvd risk prediction tools. the aim of the present work was to examine whether the inclusion of pa status in a cvd risk model improves its predictive accuracy. methods: data from the 10‑year follow‑up (2002–2012) of the n = 2020 particip...

The study of comorbidity can provide new insights into the pathogenesis disease and has important economic significance in clinical evaluation treatment difficulty, medical expenses, length stay, prognosis disease. In this paper, we propose a association prediction model DapBCH, which constructs cross-species biological network applies heterogeneous graph embedding to predict association. First...

The rapid advance of gene sequencing technologies has produced an unprecedented rate of discovery of genome variation in humans. A growing number of authoritative clinical repositories archive gene variants and disease phenotypes, yet there are currently many more gene variants that lack clear annotation or disease association. To date, there has been very limited coverage of gene-specific pred...

background: today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. these types of data are the main indicators in survival prediction of cancer. this study highlights the improvement...

blast (magnaporthe grisea) is the most important disease of rice in mazandaran province, north of iran, which causes severe damages annually on susceptible cultivars. tarom mahalli is a local aromatic cultivar with high cooking quality and marketability, but very susceptible to blast. to protect this cultivar and similar susceptible cultivars against rice blast, farmers have to use high amounts...

Abstract Background Exploring the relationship between disease and gene is of great significance for understanding pathogenesis developing corresponding therapeutic measures. The prediction disease-gene association by computational methods accelerates process. Results Many existing cannot fully utilize multi-dimensional biological entity to predict due multi-source heterogeneous data. This pape...

background non-alcoholic fatty liver disease (nafld) is the most common form of liver disease in many parts of the world. objectives the aim of the present study was to identify the most important factors influencing nafld using a classification tree (ct) to predict the probability of nafld. patients and methods this cross-sectional study was conducted in kavar, a town in the south of fars prov...

background: killer cell immunoglobulin-like receptors (kir) are expressed on nk cells and a subset of t cells. the variable kir receptors along with their ligands, hla class i, influence risk for autoimmune and malignant diseases. objective: to investigate the kir gene profiles in relation to susceptibility to graves’ disease in patients with ophthalmopathy. methods: kir genes profiles were ana...

Network-based computational approaches to predict unknown genes associated with certain diseases are of considerable significance for uncovering the molecular basis of human diseases. In this paper, we proposed a kind of new disease-gene-prediction methods by combining the path-based similarity with the community structure in the human protein-protein interaction network. Firstly, we introduced...