Population diversity is one of the most important factors that influence the convergence speed and evolution efficiency of gene expression programming (GEP) algorithm. In this paper, the population diversity strategy of GEP (GEP-PDS) is presented, inheriting the advantage of superior population producing strategy and various population strategy, to increase population average fitness and decrea...

INTRODUCTION A significant rise in incidence of rectal gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) has been observed in the last decade. Most detected gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are well differentiated and less than 2 cm in diameter. Endoscopic submucosal dissection (ESD) is a new method for endoscopic treatment of such tumors, difficult to resect by ...

BACKGROUND The endomyocardial biopsy (EMB) is considered the gold standard in rejection surveillance post cardiac transplant, but is invasive, with risk of complications. A previous trial suggested that the gene expression profiling (GEP) blood test was noninferior to EMB between 6 and 60 months post transplant. As most rejections occur in the first 6 months, we conducted a single-center random...

PURPOSE The primary tissue-site origin in over 4% of cancers remains uncertain despite thorough clinicopathological evaluation. This study assessed the effect of a Food and Drug Administration-cleared 2,000- gene-expression-profiling (GEP) test on primary tissue-site working diagnoses and management for metastatic and poorly differentiated cancers. METHODS Clinical information was collected f...

BACKGROUND Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are complex tumors whose incidence is rising and whose treatment requires precise classification and risk stratification. METHOD Selective review of the relevant literature, including recently published guidelines. RESULTS GEP-NENs are initially classified by their degree of histological differentiation and their graded c...

BACKGROUND Most biological samples are cell mixtures. Some basic questions are still unanswered about analyzing these heterogeneous samples using gene expression microarray technology (MAT). How meaningful is a cell mixture's overall gene expression profile (GEP)? Is it necessary to purify the cells of interest before microarray analysis, and how much purity is needed? How much does the purific...

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...

Gastroenteropancreatic neuroendocrine neoplasm (GEP-NEN) is known to overexpress somatostatin receptors (SSTRs), most commonly SSTR2 and SSTR5. The expression of SSTRs on tumor cells forms the basis for somatostatin analog treatment of patients with NEN. The present study detected the expression of SSTR2 and SSTR5 in GEP-NEN and investigated the efficacy and safety of octreotide long-acting rel...

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...

Prediction of bridge pier scour depth is essential for safe and economical bridge design. Keeping in mind the complex nature of bridge scour phenomenon, there is a need to properly address the methods and techniques used to predict bridge pier scour. Up to the present, extensive research has been carried out for pier scour depth prediction. Different modeling techniques have been applied to ach...