the photoanthropometric method was used to study the facial features in 136 iranian children with down syndrome, aged 4 to 14 years. nineteen parameters were investigated and compared to an age related control group of 100 normal iranian children. the obtained measurements were related to reference values in the same faces. the normal range was defined by age related index values between the 20...

Background: Vitiligo is an acquired, idiopathic, and common depigmentation disorder of the skin that affects people of all ages and both sexes equally in the worldwide. Although etiology of the disease is unknown, there are theories such as environment and genetic factors. Methods: In this article, we collected and summarized the appropriate manuscripts regarding the epidemiology and gene...

Genetic causes have a considerable involvement in infertility. Well-known examples are some chromosomal translocations or sex-chromosomal abnormalities and Y-chromosome deletions. The most common chromosomal aberrations associated especially with severe oligo- and azoospermia are sex chromosome aneuploidies and chromosomal translocations. Consequently, occurrence of aneuploid embryos will lower...

background: previous studies have revealed significant differences between populations for genotypic frequencies of glutathione s-transferase t1 ( gstt1 ) and m1 ( gstm1 ) polymorphisms. in order to find the frequency of the null genotypes of gstm1 and gstt1 in iranian populations, the present study was carried out. methods: the total study subjects consisted of 1340 unrelated healthy muslims/i...

as this is an editorial, don't need the abstract.

Computer Science plays an important role in today’s Genetics. New sequencing methods produce an enormous amount of data, pushing genetic laboratories to storage and computational limits. New approaches are needed to eliminate these shortcomings and provide possibilities to reproduce current solutions and algorithms in the area of Bioinformatics. In this paper a system is proposed which simplifi...

Sparse principal component analysis addresses the problem of finding a linear combination of the variables in a given dataset with a sparse coefficients vector that maximizes the variability of the data. This model enhances the ability to interpret the principal components and is applicable in a wide variety of fields including genetics and finance, just to name a few. We suggest a necessary co...

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...

Genetic Algorithms (GAs) are the search algorithms and optimization techniques based on the mechanics of natural selection and natural genetics. They sort out interesting areas of a space quickly but without guaranteeing more convergence. So GA may be mixed with various local problem-specific search techniques to form a hybrid that will combine the globality and parallelism of GA with more conv...

Neutrosophic Genetics is the study of genetics using neutrosophic logic, set, probability, statistics, measurement, and other tools procedures. In this paper, based on Theory Evolution (that includes degrees Evolution, Neutrality (or Indeterminacy), Involution) – as an extension Darwin’s we show applicability neutrosophy in genetics, present within frame following concepts: mutation, speciation...