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Because this administrative dataset lacked important information relevant to the policy evaluation, we decided to complement the dataset with additional survey data.
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The second group, referred to as Benchmark 2, is composed of six datasets, taken from Monti et al., that nicely complement the datasets in Benchmark 1. Their selection allows for a direct comparison of the performance of FC with Consensus on datasets that were originally used for its validation.
It should be noted that assignment of cluster membership, as well as the comparison of expression profiles between a tissue of interest and it's complement in the dataset in this study are provisional on the limitations of the sample set used.
Overall, we think that SignaLink 2 both complements the datasets found in other databases, such as Reactome and supports a more detailed analysis of these pathways by including transcriptional, post-transcriptional and possible post-translational regulators of a pathway.
We also performed comparative proteomic analysis on the same C. difficile cultures to complement the RNAseq dataset.
Therefore we conclude that, at the very least, our high-throughput senescence assays complement the existing datasets, identifying gene deletions with notably different properties.
In this study we complement this dataset with an analysis of the infrasound record of two explosions during the 2009 eruption of Mt. Redoubt (Fig. 1 a, c).
We selected 100 bacterial genomes randomly and complemented the random dataset so that all major phylogenetic classes were covered by at least one organism (resulting in 103 bacteria).
Salinity data from floats were accessed through the software 'Argo Data and Products for Indian Ocean' of the Indian National Centre for Ocean Information Services, Hyderabad, India; this complemented the global datasets for the period November December 2015 (Geetha et al. 2011).
This added perspective, plus the ability to amplify or attenuate specific patterns in the dataset, complements the classifications given by commonly used clustering techniques.
The detection accuracy of the data matrices W and S in distinguishing the four interaction categories (SL, SS, PE and PS) from the background variability (i.e. the complement of the category in the dataset under evaluation) was assessed using the receiver operating characteristic (ROC) curves [61].
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