Results 31 to 40 of about 8,001,041 (336)
Nucleic Acids Res., 2015 The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often followed by visualizing two of the components on the scatterplot. Although widely used, the method is lacking an easy-to-use web
Tauno Metsalu, J. Vilo
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Integrative pathway enrichment analysis of multivariate omics data
Nature Communications, 2020 Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway ...
Marta Paczkowska +10 more
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Frontiers in Plant Science, 2012 High-throughput phenotyping technologies in combination with genetic variability for the plant model species Arabidopsis thaliana (Arabidopsis) offer an excellent experimental platform to reveal the effects of different gene combinations on phenotypes ...
Sabrina eKleessen +2 more
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CHEMOSTAT, UM SOFTWARE GRATUITO PARA ANÁLISE EXPLORATÓRIA DE DADOS MULTIVARIADOS
Química Nova, 2015 The objective of this work was to develop a free access exploratory data analysis software application for academic use that is easy to install and can be handled without user-level programming due to extensive use of chemometrics and its association ...
Gilson A. Helfer +5 more
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Univariate and Multivariate Statistical Analysis of Microbiome Data: An Overview
Applied Microbiology, 2023 Microbiome data is high dimensional, sparse, compositional, and over-dispersed. Therefore, modeling microbiome data is very challenging and it is an active research area.
Hani Aldirawi, Franceskrista G. Morales
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missMDA: A Package for Handling Missing Values in Multivariate Data Analysis
, 2016 We present the R package missMDA which performs principal component methods on incomplete data sets, aiming to obtain scores, loadings and graphical representations despite missing values.
J. Josse, François Husson
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Multivariate Comparison of Cytokine Profiles for Normal- and Low-Bone-Density Subjects
Diagnostics, 2019 Osteoporosis is a serious worldwide public health concern. The role of the immune system in the onset of osteoporosis in postmenopausal women is an area of current research.
Kamaludin Dingle, Fawaz Azizieh
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Multivariate Analysis of Geological Data for Regional Studies of Geodiversity
Resources, 2022 In Norway, a landscape map exists which gives the opportunity to collect data in landscape units for further analysis. This study covers parts of Norway and Sweden, so the landscape map was extended into Sweden to form a unified landscape structure.
Lars Erikstad +6 more
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Pharmaceuticals, 2021 Psychotria malayana Jack leaf, known in Indonesia as “daun salung”, is traditionally used for the treatment of diabetes and other diseases. Despite its potential, the phytochemical study related to its anti-diabetic activity is still lacking.
Tanzina Sharmin Nipun +11 more
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A MULTIVARIATE DATA ANALYSIS OF LOGISTICS STRUCTURE AS A FACTOR OF COMPETITIVENESS
Brazilian Journal of Operations & Production Management, 2017 The importance of logistics structure to economies is becoming increasingly significant and in order to support the economic growth based on exports, governments have sought to constantly improve the quality of logistics infrastructure of their countries,
Henrique Duarte Carvalho +1 more
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