Gene expression profiling (GEP) of 8 stage 0/I untreated Chronic Lymphocytic Leukemia (CLL) patients showed over-expression of Frizzled 3 (FZD3)/ROR-1 receptor tyrosine kinase (RTK), FLT-3 RTK and CXCR3 G-protein coupled receptor (GPCR). RT-PCR of 24 genes in 21 patients of the WNT pathway corroborated the GEP. Transforming growth factorβ, fibromodulin, TGFβRIII and SMAD2 are also over-expresse...

To analyze CO2 fluxes under conditions of climate change in an alpine meadow on the central Qinghai-Tibetan Plateau, we simulated the effect of warming using open top chambers (OTCs) from 2012 to 2014. The OTCs increased soil temperature by 1.62°C (P < 0.05), but decreased soil moisture (1.38%, P < 0.05) during the experiments. The response of ecosystem CO2 fluxes to warming was variable, and d...

In the study, we present a higher effective algorithm, called revised gene expression programming (RGEP), to construct the model for music emotion recognition. Our main contributions are as follows: firstly, we describe the basic mechanisms of music emotion recognition and introduce gene expression programming (GEP) to deal with the model construction for music emotion recognition. Secondly, we...

Gene Expression Programming (GEP) is a genetic algorithm that evolves linear chromosomes encoding nonlinear (tree-like) structures. In the original GEP algorithm, the genome size is problem specific and is determined through trial and error. In this work, a method for adaptive control of the genome size is presented. The approach introduces mutation, transposition, and recombination operators t...

In this paper, the generalized exponential power (GEP) density is proposed as an importance function in Monte Carlo simulations in the context of estimation of posterior moments of a location parameter. This density is divided in five classes according to its tail behaviour which may be exponential, polynomial or logarithmic. The notion of p-credence is also defined to characterize and to order...

Gene expression profiling (GEP) had divided the diffuse large B-cell lymphoma (DLBCL) into molecular subgroups: germinal center B-cell like (GCB), activated B-cell like (ABC), and unclassified (UC) subtype. However, this classification with prognostic significance was not applied into clinical practice since there were more than 1000 genes to detect and interpreting was difficult. To classify c...

OBJECTIVE Amine precursor uptake and decarboxylation is a classical feature of gastroenteropancreatic (GEP) neuroendocrine tumors (NET). Production of catecholamines was studied in GEP NET and non-NET patients. DESIGN A cross-sectional study was undertaken. METHODS We studied catecholamine and metabolite secretion in 115 consecutive GEP NET patients and in 20 patients with non-NET. After sp...

Because of the limited environmental monitoring stations, the spatial data we have obtained by monitoring is local, discrete and limited. Therefore, speculating the environmental pollution parameters without monitoring station by using known monitoring data for spatial interpolation has become a hot research topic. In our preliminary work, an approach combining Genetic Expression Programming (G...

INTRODUCTION Gastroenteropancreatic (GEP) and bronchopulmonary (BP) neurendocrine neoplasms (NENs) are rare and slowly growing tumours. Matrix metalloproteinases (MMPs) degrade extracellular matrix and are responsible for invasion and metastasis. Tissue inhibitors of matrix metalloproteinases (TIMPs) affect the invasiveness of tumour cells and the formation of distant metastases. The aim of thi...

BACKGROUND Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are a heterogeneous group of rare tumors. Many issues in terms of epidemiologic features, pathogenesis, and treatment of GEP-NENs are still under discussion. Our study aimed to analyze the clinicopathologic characteristics and prognosis of Chinese patients with GEP-NENs. METHODS Complete clinicopathologic data and survival ...