the objective of this study was to compare six statistical methods for prediction of genomic breedingvalues for traits with different genetic architecture in term of gene effects distributions and number ofquantitative traits loci (qtls). a genome consisted of 500 bi-allelic single nucleotide polymorphism(snp) markers distributed over a chromosomes with 100 cm length was simulated. three differ...

Identifying the association between metabolites and diseases will help us understand pathogenesis of diseases, which has great significance in diagnosing treating diseases. However, traditional biometric methods are time consuming expensive. Accordingly, we propose a new metabolite-disease prediction algorithm based on DeepWalk random forest (DWRF), consists following key steps: First, semantic...

results like other cancers, prostate cancer is caused by an accumulation of genetic alterations in a cell that drives it to malignant growth. specific genes and gene alterations have been suggested to play a role in its development and progression. aneuploidy, loss of heterozygosity, gene mutations, hypermethylation and inactivation of specific tumour suppressor genes such as gstpi, apc, mdr1, ...

Systems biology is in an exponential development stage in recent years and has been widely utilized in biomedicine to better understand the molecular basis of human disease and the mechanism of drug action. Here, we discuss the fundamental concept of systems biology and its two computational methods that have been commonly used, that is, network analysis and dynamical modeling. The applications...

Non-small cell lung cancer (NSCLC) is a serious disease and has high recurrence rate after surgery. Recently, many machine learning methods have been proposed for prediction. The using gene expression data achieve accuracy rates but expensive. While, the radiomics features computer tomography (CT) image cost-effective method, their not competitive. In this paper, we propose genotype-guided meth...

Gene expression profiling has been widely used to study molecular signatures of many diseases and to develop molecular diagnostics for disease prediction. Gene selection, as an important step for improved diagnostics, screens tens of thousands of genes and identifies a small subset that discriminates between disease types. A two-step gene selection method is proposed to identify informative gen...

background and aims: ndv (newcastle disease virus) is one of the viruses that cause disease in avian with severe economic losses in the poultry industry in many countries. fusion protein (f) which plays a major role in the virus pathogenicity contains several regions that have a role in the fusion process. mutation in the sequence of hr1 & hr2 regions of this protein prevents fusion of the viru...

alzheimer's disease (ad) is a genetically heterogeneous neurodegenerative disease and late-onset type (load) is the most common form of dementia affecting people over 65 years old. calhm1 (p86l) encodes a transmembrane glycoprotein that controls cytosolic ca2+ concentrations and aß levels and p86l polymorphism in this gene is significantly associated with load in independent case controls in a ...

late-onset alzheimer's disease (load) is a neurodegenerative disorder and the most common form of dementia affecting people over 65 years old. alzheimer’s disease is a complex disease with multi-factorial etiology. inflammation has been approved to have an important role in the pathogenesis of alzheimer’s disease (ad). tnf-a is a main pro-inflammatory cytokine that plays an essential role in in...