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      Correlations between biomarkers of varying bioavailability and putative hydrocarbonoclastic bacteria in an Early-Eocene marlstone sedimentary record

      , , , , , ,
      Organic Geochemistry
      Elsevier BV

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          mixOmics: An R package for ‘omics feature selection and multiple data integration

          The advent of high throughput technologies has led to a wealth of publicly available ‘omics data coming from different sources, such as transcriptomics, proteomics, metabolomics. Combining such large-scale biological data sets can lead to the discovery of important biological insights, provided that relevant information can be extracted in a holistic manner. Current statistical approaches have been focusing on identifying small subsets of molecules (a ‘molecular signature’) to explain or predict biological conditions, but mainly for a single type of ‘omics. In addition, commonly used methods are univariate and consider each biological feature independently. We introduce mixOmics, an R package dedicated to the multivariate analysis of biological data sets with a specific focus on data exploration, dimension reduction and visualisation. By adopting a systems biology approach, the toolkit provides a wide range of methods that statistically integrate several data sets at once to probe relationships between heterogeneous ‘omics data sets. Our recent methods extend Projection to Latent Structure (PLS) models for discriminant analysis, for data integration across multiple ‘omics data or across independent studies, and for the identification of molecular signatures. We illustrate our latest mixOmics integrative frameworks for the multivariate analyses of ‘omics data available from the package.
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            Anaerobic metabolism of aromatic compounds via the benzoyl-CoA pathway

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              Biomarkers reveal the role of photic zone euxinia in exceptional fossil preservation: An organic geochemical perspective

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                Author and article information

                Journal
                Organic Geochemistry
                Organic Geochemistry
                Elsevier BV
                01466380
                May 2022
                May 2022
                : 167
                : 104409
                Article
                10.1016/j.orggeochem.2022.104409
                1cb4d67d-e1a7-4079-bed3-de8527f34d65
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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