Discriminant analysis is one of the classical classification techniques used to discriminate a single categorical variable using multiple attributes. Discriminant analysis also assigns observations to one of the pre-defined groups based on the knowledge of the multi-attributes. When the distribution within each group is multivariate normal, a parametric method can be used to develop a discrimin...

Although it is generally assumed that fish are capable of discriminating amino acid odorants on the basis of differences in side-chain structure, less is known about their ability to discriminate amino acids with modifications to alpha-carboxyl and alpha-amino groups. In this study, the ability of the zebrafish olfactory system to detect and presumably discriminate analogues of the basic amino ...

MOTIVATION Modelling methods that find structure in data are necessary with the current large volumes of genomic data, and there have been various efforts to find subsets of genes exhibiting consistent patterns over subsets of treatments. These biclustering techniques have focused on one data source, often gene expression data. We present a Bayesian approach for joint biclustering of multiple d...

multiple sclerosis (ms) is a disease with high disabling disorders and considerable social and economic impacts. this study was conducted to analyze the spatial distribution of ms disease in tehran, iran during 2001-2012.the existing information in the ms patients' medical files who had registered in iranian ms society (imss), located in tehran office, was used for analysis. the relationship be...

background: stearoyl-coa desaturase (scd) is a key enzyme that converts saturated fatty acids (sfas) to monounsaturated fatty acids (mufas) in fat biosynthesis. despite being crucial for interpreting scds’ roles across species, the evolutionary relationship of scd proteins across species has yet to be elucidated. this study aims to present this evolutionary relationship based on amino acid sequ...