Multivariate statistical analysis is widely used in medical studies as a profitable tool facilitating diagnosis of some diseases, for instance, cancer, allergy, pneumonia, or Alzheimer's and psychiatric diseases. Taking this in consideration, the aim of this study was to use two multivariate techniques, hierarchical cluster analysis (HCA) and principal component analysis (PCA), to disclose the ...

Milk-based kombucha beverages were obtained conducting lead fermentation of milk. In order to discriminate the analysed samples and detect similarities or dissimilarities among them in space experimentally determined variables, hierarchical cluster analysis (HCA) principal component (PCA) applied. Linear discriminant (LDA) was conducted on raw data set find a rule for allocating new sample unkn...

The species Deguelia utilis and Deguelia rufescens var. urucu, popularly known as "timbó," have been used for many years as rotenone sources in insecticide formulations. In this work, a method was developed and validated using a high-performance liquid chromatography-photodiode array (HPLC-PDA) system, and results were analyzed using hierarchical cluster analysis (HCA). By quantifying the major...

Leishmania species are protozoan parasites and the causative agents of leishmaniasis, a vector borne disease that imposes a large health burden on individuals living mainly in tropical and subtropical regions. Different Leishmania species are responsible for the distinct clinical patterns, such as cutaneous, mucocutaneous, and visceral leishmaniasis, with the latter being potentially fatal if l...

In an effort towards adapting new and defensible methods for assessing and managing the risk posed by microbial pollution, we evaluated the utility of oligonucleotide microarrays for bacterial source tracking (BST) of environmental Enterococcus sp. isolates derived from various host sources. Current bacterial source tracking approaches rely on various phenotypic and genotypic methods to identif...

BACKGROUND Studies on medication safety in pregnancy often rely on an oversimplification of medication use into exposed or non-exposed, without considering intensity and timing of use in pregnancy, or concomitant medication use. This study uses paracetamol in pregnancy as the motivating example to introduce a method of clustering medication exposures longitudinally throughout pregnancy. The aim...

A rapid resolution liquid chromatography/electrospray ionisation tandem mass spectrometry (RRLC-ESI-MS(n)) method has been firstly developed and validated for simultaneous determination of six bioactive flavonoids in Citri Reticulatae Pericarpium (CRP). The antiproliferative activities of the six flavonoids in CRP, namely naringin, hesperidin, nobiletin, 3,5,6,7,8,3',4'-heptamethoxyflavone, tan...

The use of barley (Hordeum vulgare L.) in Morocco is still limited to food and feed despite the amplified demand by local industries for imported malt. This study aims evaluate 36 elite lines major grain physicochemical parameters malt quality traits. Analysis variance, Pearson correlation, principal component analysis (PCA), hierarchical cluster (HCA) were performed. results showed significant...

Variability of groundwater quality parameters is linked to various processes such as weathering, organic matter degradation, aerobic respiration, iron reduction, mineral dissolution and precipitation, cation exchange and mixing of salt water with fresh water. Multivariate statistical analyses such as principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to the ...

the combinations of inductively coupled plasma-optical emission spectrometry (icp-oes) and three classification algorithms, i.e., partial least squares discriminant analysis (pls-da), least squares support vector machine (ls-svm) and soft independent modeling of class analogies (simca), for discriminating different brands of iranian bottled mineral waters, were explored. icp-oes was used for th...