background: neuroblastoma is the most common extra cranial malignant solid tumor of childhood. various molecular and cytogenetic factors have been implicated in the pathogenesis of neuroblastoma, some of which have proven useful in predicting clinical behavior. over expression of the oncogen n-myc, is an important indicator of prognosis. materials and methods: our study was performed from 2004 ...

in general, both common illnesses and rare diseases can develop in people and their relatives in families. therefore, taking family history is an effective screening tool to detect such diseases and patients should be aware of its importance in families’ health with updating information in regular visiting. for more information on identifying the genetic pattern of diseases, in this article, we...

two barley (hordeun vulgare l.) genotypes, radical and cwb, with good to moderate levels of resistance to powdery mildew were crossed with a highly susceptible cultivar (afzal) to determine the genetics of resistance. the parents, fl, f2 and f3 generations of each of the two crosses, were evaluated for powdery mildew resistance in the glasshouse and field at the college of agriculture in karaj ...

In this paper, we focus on the problem of signal smoothing and step-detection for piecewise constant signals. This is central to several applications such as human activity analysis, speech or image anomaly detection in genetics. We present a two-stage approach minimize well-known line process model which arises from probabilistic representation its segmentation. first stage, TV least square de...

The use of an efficient multicast tree can substantially speed up many communication-intensive MPI applications. This is even more crucial for Grid environment since MPI runtime has to work on wide area network with very different and unbalanced network bandwidth. This paper proposes a new and efficient algorithm called, GADT (Genetics Algorithm based Dynamics Tree) that can be used to generate...

Physical map reconstruction in the presence of er rors is a central problem in genetics of high compu tational complexity A parallel genetic algorithm for a maximum likelihood estimation based approach to physical map reconstruction is presented The estima tion procedure entails gradient descent search for de termining the optimal spacings between probes for a given probe ordering The optimal p...

The primary goal of this paper is to understand the dynamics of interaction in a population of individuals using a simple but representative evolutionary approach. We study the effect of different parameters, like population size, strength of selection and different selection regimes, on the performance of an evolutionary algorithm in terms of speed of fixation and fixation to suboptimal indivi...

We describe the application of a hybrid symbolic/connectionist machine learning algorithm to the task of recognizing important genetic sequences. The symbolic portion of the KBANN system utilizes inference rules that provide a roughly-correct method for recognizing a class of DNA sequences known as eukaryotic splice-junctions. We then map this "domain theory" into a neural network and provide t...

Task allocation is one of the core steps to effectively exploit the capabilities of cooperative control of multiple Uninhabited Aerospace Vehicle (UAV) teams. Task allocation is an NP-complete problem. In this paper, we present a new task allocation algorithm that is based on the principles of genetic algorithm (GA). GA is a class of adaptive search algorithms derived from biological population...