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Scaling laws of graphs of 3D protein structures
Jure Pražnikar, 2021, original scientific article

Keywords: graph theory, scaling law, macromolecules, radius of gyration, eccentricity
Published in RUP: 04.02.2021; Views: 946; Downloads: 35
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Obesity measures and dietary parameters as predictors of gut microbiota phyla in healthy individuals
Katja Bezek, Ana Petelin, Jure Pražnikar, Esther Nova, Noemi Redondo, Marcos Ascensión, Zala Jenko Pražnikar, 2020, original scientific article

Abstract: : The dynamics and diversity of human gut microbiota that can remarkably influence the wellbeing and health of the host are constantly changing through the host%s lifetime in response to various factors. The aim of the present study was to determine a set of parameters that could have a major impact on classifying subjects into a single cluster regarding gut bacteria composition. Therefore, a set of demographical, environmental, and clinical data of healthy adults aged 25%50 years (117 female and 83 men) was collected. Fecal microbiota composition was characterized using Illumina MiSeq 16S rRNA gene amplicon sequencing. Hierarchical clustering was performed to analyze the microbiota data set, and a supervised machine learning model (SVM; Support Vector Machines) was applied for classification. Seventy variables from collected data were included in machine learning analysis. The agglomerative clustering algorithm suggested the presence of four distinct community types of most abundant bacterial phyla. Each cluster harbored a statistically significant different proportion of bacterial phyla. Regarding prediction, the most important features classifying subjects into clusters were measures of obesity (waist to hip ratio, BMI, and visceral fat index), total body water, blood pressure, energy intake, total fat, olive oil intake, total fiber intake, and water intake. In conclusion, the SVM model was shown as a valuable tool to classify healthy individuals based on their gut microbiota composition.
Keywords: gut microbiota, nutrition, obesity, lifestyle parameters, clustering
Published in RUP: 10.09.2020; Views: 1161; Downloads: 71
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Ergo-Cell : a multi-sensor system offering new opportunities for research in elderly
Nejc Šarabon, Miha Peroša, Jure Pražnikar, Helmut Kern, 2015, published scientific conference contribution abstract

Keywords: measurements, mobile technology, physiology, ergonomics
Published in RUP: 15.10.2015; Views: 2906; Downloads: 37
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