gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. hypercholesterolemia is a quantitativ...

growing amount of information on biological sequences has made application of statistical approaches necessary for modeling and estimation of their functions. in this paper, sensitivity and specificity of the first and second markov chains for prediction of genes was evaluated using the complete double stranded  dna virus. there were two approaches for prediction of each markov model parameter,...

Drug repositioning offers the significant advantage of greatly reducing cost and time drug discovery by identifying new therapeutic indications for existing drugs. In particular, computational approaches using networks in have attracted attention inferring potential associations between drugs diseases efficiently based on network connectivity. this article, we proposed a network-based method to...

Identifying disease-related genes is of importance for understanding molecule mechanisms diseases, as well diagnosis and treatment diseases. Many computational methods have been proposed to predict genes, but how make full use multi-source biological data enhance the ability disease-gene prediction still challenging. In this paper, we a novel method predicting by using fast network embedding (P...

Abstract Background LncRNAs (Long non-coding RNAs) are a type of RNA molecule with transcript length longer than 200 nucleotides. LncRNA has been novel candidate biomarkers in cancer diagnosis and prognosis. However, it is difficult to discover the true association mechanism between lncRNAs complex diseases. The unprecedented enrichment multi-omics data rapid development machine learning techno...

background: using primary tumor gene expression has been shown to have the ability of finding metastasis-driving gene markers for the prediction of breast cancer recurrence (bcr). however, there are some difficulties associated with the analysis of microarray data which led to poor predictive power and inconsistency of the previously introduced gene signatures. methods: in this study a hybrid m...