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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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Data From: Robust And Automatic Definition Of Microbiome States

Authors: García-Jiménez, Beatriz; Wilkinson, Mark D.;

Data From: Robust And Automatic Definition Of Microbiome States

Abstract

Output files of the application of our R software (available at https://github.com/wilkinsonlab/robust-clustering-metagenomics) to different microbiome dataset already published. Prefixes: * David2014_: original microbiome dataset published in [David et al.,2014] (http://genomebiology.com/2014/15/7/R89) * Ballou2016_: original microbiome dataset published in [Ballou et al.,2016] (http://journal.frontiersin.org/article/10.3389/fvets.2016.00002/full) * Gajer2012_: original microbiome dataset published in [Gajer et al.,2012] (http://stm.sciencemag.org/content/4/132/132ra52.long) * LaRosa2014_: original microbiome dataset published in [LaRosa et al.,2014] (http://www.pnas.org/cgi/doi/10.1073/pnas.1409497111) * Dam2016_: original microbiome dataset published in [Dam et al.,2016] (https://www.nature.com/articles/npjsba20167) * Caporaso[Lpalm|Rpalm|Tongue]_: original microbiome dataset published in [Caporaso et al.,2011] (https://genomebiology.biomedcentral.com/articles/10.1186/gb-2011-12-5-r50) * Ravel2011_: original microbiome dataset published in [Ravel et al.,2011] (http://www.pnas.org/content/108/Supplement_1/4680) Sufixes: _All: all taxa _Dominant: only 1% most abundant taxa _NonDominant: remaining taxa after removing above dominant taxa _GenusAll: taxa aggregated at genus level _GenusDominant: taxa aggregated at genes level and then to select only 1% most abundant taxa _GenusNonDominant: taxa aggregated at genus level and then to remove 1% most abundant taxa Each folder contains the following output files related to the same input dataset: - data.normAndDist_definitiveClustering_XXX.RData: R data file with a) a phyloseq object (including OTU table, meta-data and cluster assigned to each sample); and b) a distance matrix object. - definitiveClusteringResults_XXX.txt: text file with assessment measures of the selected clustering. - sampleId-cluster_pairs_XXX.txt: text file. Two columns, comma separated file: sampleID,clusterID - robustClustering_allTogether_formatted.pdf: graph file, with the results of the robust clustering assessment. - pcoa_definitiveClustering_X_kY_colorByCluster.pdf: graph file, with samples represented in Principal COordinate Analysis, with different point color associated to the assigned cluster. - statesSequence_XXX.pdf (if longitudinal data): graph file, a time series diagram representing the sequence of states over time per subject.

Keywords

Machine Learning, States, Microbiome, Longitudinal dataset, Clustering

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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