PURPOSE To predict individual survival times for neuroblastoma patients from gene expression data using the cancer survival prediction using automatic relevance determination (CASPAR) algorithm. EXPERIMENTAL DESIGN A first set of oligonucleotide microarray gene expression profiles comprising 256 neuroblastoma patients was generated. Then, CASPAR was combined with a leave-one-out cross-validat...

Alzheimer's disease (AD) is a major productive neurological illness with complicated genetic architecture. One of the main aims biomedical research to identify risk genes and then explain how these contribute development. As result, it required increase list linked disease. Genes play crucial role in every biological activity. Microarray technology has given access large number genes, allowing ...

This study presents a novel network methodology to identify prognostic gene signatures. Implication networks based on prediction logic are used to construct genome-wide coexpression networks for different disease states. From the differential components associated with specific disease states, candidate genes that are co-expressed with major disease signal hallmarks are selected. From these can...

background :   vaculating cytotoxic a ( vaca ) gene is one of the multiple helicobacter pylori genotypes that produce a cytotoxin protein (vaca).this gene is a major cause of chronic peptic ulcers and gastric cancer. the aim of this study was to determine the correlation between vaca gene with peptic ulcer disease (pud) and non-ulcer dyspepsia (nud).   methods :    this was a case control study...

sporadic alzheimer’s disease (sad) is affected by genetic risk factors, aging and oxidative stresses. the herbal extract of r. canina, t. vulgare and u. dioica has a beneficial role in aging, as an anti-inflammatory and anti-oxidative agent. we investigate the neuroprotective effects of this herbal extract in the rat model of sad.  the rats were divided into control, sham, model, herbal extract...

background: numerous studies used microarray gene expression data to extract metastasis-driving gene signatures for the prediction of breast cancer relapse. however, the accuracy and generality of the previously introduced biomarkers are not acceptable for reliable usage in independent datasets. this inadequacy is attributed to ignoring gene interactions by simple feature selection methods, due...