BACKGROUND Lung cancer is an important and common cancer that constitutes a major public health problem, but early detection of small cell lung cancer can significantly improve the survival rate of cancer patients. A number of serum biomarkers have been used in the diagnosis of lung cancers; however, they exhibit low sensitivity and specificity. METHODS We used biochemical methods to measure ...

Carefully studied in-situ hybridization Gene expression patterns (GEP) can provide a first glance at possible relationships among genes. Automatic comparative analysis tools are an indispensable requirement to manage the constantly growing amount of such GEP images. We present here an automated processing pipeline for Segmenting, Classification, and Clustering large-scale sets of Drosophila mel...

Artificial intelligence (AI) methods are interesting alternatives to classical approaches for modeling financial time series since they relax the assumptions imposed on data generating process by parametric models and do not impose any constraint model’s functional form. Even if many studies employed these techniques series, connection of models’ performances with statistical characteristics ha...

Heat transfer due to forced convection of copper water based nanofluid in the presence of buoyancy has been predicted by the Artificial Neural network (ANN) and Gene Expression Programming (GEP). The present nanofluid is formed by mixing copper nano particles in water and the volume fractions are considered here are 0% to 15% and the Reynolds number (Re) are varying from 80 to 180. The adding a...

Parallel hyper-cubic gene expression programming (GEP) was constructed to estimate the slump flow of high-performance concrete (HPC) by using seven concrete ingredients. HPC is a highly complex material; because modeling its behavior is extremely difficult, robust optimization techniques are required. Because of complications caused by high dimensionality, obtaining globally optimal or nearly o...

Gene expression programming has been shown to be an important algorithm in the optimisation of complex systems. However, it has many more operators and parameters than standard genetic programming, each of which needs to be set when applying the algorithm to new problems. In this paper, an adaptive approach for setting probabilities for genetic operators in gene expression programming (GEP) usi...

Carbon geo-sequestration (CGS), as a well-known procedure, is employed to reduce/store greenhouse gases. Wettability behavior one of the important parameters in geological CO2 sequestration process. Few models have been reported for characterizing contact angle brine/CO2/mineral system at different environmental conditions. In this study, smart machine learning model, namely Gene Expression Pro...

Abstract Precipitation forecast is key for water resources management in semi-arid climates. The traditional hybrid models simulate linear and nonlinear components of precipitation series separately. But they do not still provide accurate forecasts. This research aims to improve by using an ensemble models. Preprocessing configurations each the Gene Expression Programming (GEP), Support Vector ...