Background: Gaucher disease is an autosomal recessive inherited lysosomal storage disorder that affects many of the body's organs and tissues by defective function of the catabolic enzyme β-glucocerebrosidase. Gene therapy is one of the efficient ways for treatment of this disease. Due to the lack of appropriate animal models, in the field of gene therapy little progress has been done.Mate...

Gene expression analysis aims at identifying the genes able to accurately predict biological parameters like, for example, disease subtyping or progression. While accurate prediction can be achieved by means of many different techniques, gene identification, due to gene correlation and the limited number of available samples, is a much more elusive problem. Small changes in the expression value...

background and objectives: survival models are statistical technique to estimate or predict the overall time up to specific events. prediction is important in medical science and the accuracy of prediction is determined by a measurement, generally based on loss functions, called prediction error. the aim of this study is using parametric models to determine the factors influencing predicted sur...

 Background: Spinal muscular atrophy (SMA) is the second most common lethal autosomal recessive disease. It is a neuromuscular disorder caused by degenerative of lower motor neurons and occasionally bulbar neurons leading to progressive limb paralysis and muscular atrophy. The SMN1 gene is recognized as a SMA causing gene while NAIP has been characterized as a modifying factor for the clinical ...

Recent pre-clinical and clinical studies have revealed the C-reactive protein gene (CRP) is related to the degree of acute rise in plasma C-reactive protein (CRP) levels. Moreover, single nucleotide polymorphisms (SNPs) in the CRP gene could associate with increased risk of cancer, atherosclerosis, diabetes mellitus, bowel disease, rheumatoid arthritis, psoriasis, obstructive pulmonary disease,...

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,...