We conducted comprehensive gene expression profiling (GEP) of primary pulmonary mucosa-associated lymphoid tissue (MALT) lymphoma (n 33) and compared the results to GEP of other Band T-cell lymphomas and normal lymphocytes to identify novel markers and deregulated pathways. MALT has a prominent T-cell signature and a marginal zone/memory B-cell profile. Four novel transcripts were specifically ...

Immunoevasion is an emerging hallmark of cancer. Impairment of natural killer (NK) cytotoxicity is a mechanism to evade host immunosurveillance. Granulin-epithelin precursor (GEP) is a hepatic oncofetal protein regulating growth, invasion, and chemoresistance in hepatocellular carcinoma (HCC). We examined the role of GEP in conferring HCC cells the ability to evade NK cytotoxicity. In HCC cell ...

Despite the increasing knowledge about the genetic alterations and molecular pathways involved in gliomas, few studies have investigated the association between the gene expression profiles (GEP) and both cytogenetics and histopathology of gliomas. Here, we analyzed the GEP (U133Plus2.0 chip) of 40 gliomas (35 astrocytic tumors, 3 oligodendrogliomas, and 2 mixed tumors) and their association wi...

Abstract In the present study, FLOW-3D software was used to simulate energy dissipation by a serrated-edge drop, downstream of this structure. For purpose, 2, 3, and 4 serrations with 2 series relative dimensions at edge vertical critical depth range 0.2–0.35 were for simulation. Then, using artificial neural network (ANN), support vector machine (SVM), gene expression program (GEP) methods, ac...

During an earthquake, significant damage can result due to instability of the soil in the area affected by internal seismic waves. A liquefaction-induced lateral ground displacement has been a very damaging type of ground failure during past strong earthquakes. In this study, neuro-fuzzy group method of data handling (NF-GMDH) is utilized for assessment of lateral displacement in both ground sl...

Motivation. Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training gene expression profiles (GEP) ensemble, but it cannot distinguish relations between the different factors, or different modes, and it is not available to high-order GEP Data Mining. In order to generalize ICA, we introduce Multilinear-ICA and apply it to tum...

Due to a wide range of socio-economic losses caused by drought over the past decades, having reliable insight properties plays key role in monitoring and forecasting situations, finally generating robust methodologies for adapting various vulnerability situations. The most important factor causing is rainfall, but increasing or decreasing temperature consequently, evapotranspiration can intensi...

BACKGROUND A large number of gene expression profiling (GEP) studies on prognosis of colorectal cancer (CRC) has been performed, but no reliable gene signature for prediction of CRC prognosis has been found. Bioinformatic enrichment tools are a powerful approach to identify biological processes in high-throughput data analysis. PRINCIPAL FINDINGS We have for the first time collected the resul...