High-dimensional data of discrete and skewed nature is commonly encountered in high-throughput sequencing studies. Analyzing the network itself or the interplay between genes in this type of data continues to present many challenges. As data visualization techniques become cumbersome for higher dimensions and unconvincing when there is no clear separation between homogeneous subgroups within th...

The paper shortly reviews statistical methods used in the area of DNA microarray studies. All stages of the experiment are taken into account: planning, data collection, data preprocessing, analysis and validation. Among the methods of data analysis, the algorithms for estimating differential expression, multivariate approaches, clustering methods, as well as classification and discrimination a...

Radial basis functions (RBF) provide powerful meshfree methods for multivariate interpolation for scattered data. RBF methods have been praised for their simplicity and ease of implementation in multivariate scattered data approximation. But both the approximation quality and stability depend on the distribution of the center set. It leads immediately to the problem of finding good or even opti...

the objective of this research was to discriminate four local breeds of goat in central java-indonesia using multivariate analysis. data from eight morphological traits of four goat breeds, namely kejobong goat (jg), etawa grade goat (egg), kacang goat (kg) and jawarandu goat (rg) originated from purbalingga, purworejo, grobogan and pemalang regencies, respectively, were used. one hundred and s...

the inter-tidal mangrove environment of mengkabong lagoon is important as it supports the local fishing activities, nursery grounds for many fish and shellfish species, and as well as being central for ecotourism activities. the study showed that in general, the physicochemical parameters (ph, salinity and electrical conductivity), granulometric fractions, organic matter, base cations (na, k, c...

in this study multivariate statistical analysis are used to characterize relationships between hydrochemical properties ofthermal and non-thermal springs. four factors for thermal waters and two for non-thermal springs were extracted basedon factor analysis. in thermal springs, the first factor showed high loading on ca, mg, na and k and this factor wasinterpreted as leaching of cations in the ...

The development of large ontologies for general and specific domains provides new tools to improve the quality of data mining techniques such as clustering. In this paper we explain how to improve clustering results by exploiting the semantics of categorical data by means of ontologies and how this semantics can be included into a hierarchical clustering method. We want to prove that when the c...

Multivariate data sets are now produced in several types of microscopy. Multivariate statistical methods are necessary in order to extract the useful information contained in such (image or spectrum) series. In this review, linear and nonlinear multivariate methods are described and illustrated with examples related both to the segmentation of microanalytical maps and to the study of variabilit...