background prostate cancer is a serious genetic disease known as the first widespread cancer in men, yet the molecular changes required for the cancer progression is not fully understood. availability of high-throughput gene expression data has led to the development of various computational methods for the identification of critical genes involved in the cancer. methods in this paper, we show ...

conclusions some results of the correlation coefficients are not the same with visualization. the reason may be due to the small number of data. materials and methods in the foundation-application study, we constructed two-way gene networks using nonparametric methods, such as spearman’s rank correlation coefficient and blomqvist’s measure, and compared them with pearson’s correlation coefficie...

the aim of this study was to propose a method for improving the power of recognition and classification of thromboembolic syndrome based on the analysis of ‎ gene expression data using artificial neural networks. the studied method was performed on a dataset which contained data about 117 patients admitted to a hospital in durham in 2009. of all the studied patients, 66 patients were suffering ...

We have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. This network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

we have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. this network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...

objective: despite the huge efforts, chronic kidney disease (ckd) remains as an unsolved problem in medicine. many studies have shown a central role for transforming growth factor beta-1 (tgfβ-1) and its downstream signaling cascades in the pathogenesis of ckd. in this study, we have reanalyzed a microarray dataset to recognize critical signaling pathways controlled by tgfβ-1. materials and met...

ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. Comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. Methods: We constructed protein interaction networks of cancerous a...

Background Oocyte maturity includes nuclear and cytoplasmic maturity, both of which are important for embryo fertilization. The development of oocyte is not limited to the period of follicular growth, and starts from the embryonic period and continues throughout life. In this study, for the purpose of evaluating the effect of the FSH hormone on the expression of genes, GEO access codes for this...

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...