an important step in considering of gene expression data is obtained groups of genes that have similarity patterns. biclustering methods was recently introduced for discovering subsets of genes that have coherent values across a subset of conditions. the las algorithm relies on a heuristic randomized search to find biclusters. in this paper, we introduce biclustering las algorithm and then appl...

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 ...

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...

we can reach by dna microarray gene expression to such wealth of information with thousands of variables (genes). analysis of this information can show genetic reasons of disease and tumor differences. in this study we try to reduce high-dimensional data by statistical method to select valuable genes with high impact as biomarkers and then classify ovarian tumor based on gene expression data of...

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...

introduction: cryptorchidism has been proved to cause apoptosis in germ cells in respond to changes in the stimulation levels of specific physiological events. the purpose of this study was to determine whether treatment of bilateral cryptorchidism was associated with alterations in testicular gene expression. methods: to induce bilateral cryptorchid model, immature mice were anesthetized and a...

an important aspect of microarray studies includes the prediction of patient survival based on their gene expression profile. to deal with the high dimensionality of this data, use of a dimension reduction procedure along with the survival prediction model is necessary. this study aimed to present a new method based on wavelet transform for survival relevant gene selection.the data included 204...

suicide is a major public health concern, with approximately one million people committing suicide world-wide each year .risk factors for suicidal behavior include, psychiatric and medical illness, impulsivity, aggression, alcohol and drug abuse specially stimulants, and  stress. neurobiological, brain mappings and biochemical studies have revealed that suicide victims experiencing a large numb...

background: apoptosis is a process that plays an important role during early stage of implantation. the aim of this study was to investigate the incidence of apoptosis in mice endometrium after ovarian stimulation at implantation period. methods: nmri female mice were divided into two groups: 1) control group, which were rendered pseudopregnant by vaginal stimulation and 2) experimental group, ...

schizophrenia (scz) is a complex disorder with no clarified etiology or biological diagnosis.  symptoms of schizophrenia including positive, negative and cognitive deficits.the neurodegenrative and neurodevelopmental hypothesis are main views  about the pathophysiology of schizophrenia. neuregulin 1 is one of four proteins in the neuregulin family that act on the egfr family of receptors. nrg1 ...