Approximately 53% of the protein sequences in the National Biomedical Research Foundation (NBRF) database can be allocated to one of 26 functional classes, each of which can be characterized by the joint occurrence of four or fewer attributes. The attributes reflect collective physicochemical properties of the sequences in a class, ranging from simple characteristics of composition, such as ave...

Rapid progress in multiple genome projects continues to feed databases in the world a large volume of sequence data. In this 'post-genomic' era, more efficient and reliable sequence annotation, especially functional annotation of protein sequences, is crucial. Although experimental confirmation is ultimately required, computational annotation of protein sequences has been routinely done, and it...

Most California community colleges collect copious amounts of data on entering students, most often through the assessment process. However, many times, the data are underutilized: only a few of the data elements captured are used for assessment purposes and the data are not used outside of placement. I have made several attempts to utilize the data, including an attempt to identify variables t...

Fifty-six patients with senile dementia of Alzheimer type and 84 normal elderly people were examined by EEG and computed tomography. In discriminant function analysis of the computed tomography indexes the highest discriminant function coefficient was for width of the third ventricle. Using computed tomography, the groups were correctly classified for 84% of the subjects. In discriminant functi...

Testing hypotheses about variance parameters arises in contexts where uniformity is important and also in relation to checking assumptions as a preliminary to analysis of variance (ANOVA), dose-response modeling, discriminant analysis and so forth. In contrast to procedures for tests on means, tests for variances derived assuming normality of the parent populations are highly nonrobust to nonno...

MOTIVATION High-dimensional data such as microarrays have created new challenges to traditional statistical methods. One such example is on class prediction with high-dimension, low-sample size data. Due to the small sample size, the sample mean estimates are usually unreliable. As a consequence, the performance of the class prediction methods using the sample mean may also be unsatisfactory. T...

fourteen different morphological traits in 169 and 131 cattle of oulmes-zaer and tidili, respectively were recorded and analyzed using a multivariate approach. the characters measured included heart girth, wither height, rump height, rump length, rump width, chest depth, body length, neck length, cannon circumference, ear length, ear width, head length, horn length and tail length. breed signif...

understanding the performance and role of each formation in a petroleum play is crucial for the efficient and precise exploration and exploitation of trapped hydrocarbons in a sedimentary basin. the lorestan basin is one of the most important hydrocarbon basins of iran, and it includes various oil-prone potential source rocks and reservoir rocks. previous geochemical studies of the basin were n...

The  major  aim  of  this  paper  was  to  investigate  the  validity  of  language  and intelligence  factors  for  classifying  Iranian  English  learners`  writing  performance. Iranian  participants  of  the  study  took  three  tests  for  grammar,  breadth,  and  depth  of vocabulary, and two tests for verbal and narrative intelligence. They also produced a corpus  of  argumentative  writ...