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We first applied our method to predict the binding affinity landscape of Gcn4p in Saccharomyces cerevisiae by using datasets from HiTS-FLIP.
We have applied this method to predict the binding affinity landscape of Gcn4p in Saccharomyces cerevisiae by using datasets from HiTS-FLIP.
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The assumption was further validated by STELLA® using datasets from nine-batch pilot-scale vertical-flow CWs treating aquaculture wastewater under two different operating conditions: i.e., submersed state (SS) and non-submersed state (NS).
In this study, we propose a methodology for comparative analysis and ranking of diagnostic tests across population groups, by integrating datasets and imputing data using datasets from sample populations.
We validated our equations using datasets from independent datasets.
We used datasets from studies published by Ravel et al. [ 4] and Srinivasan et al. [ 13].
We used datasets from three Brazilian ecoregions.
They used datasets from 1,486 microarray experiments.
These papers evaluate performance by using multiclass datasets from the UCI repository, associating arbitrary costs with (mis predictions for each class.
This paper is a first attempt to analyze IP strategy of Japanese firms, by using large datasets from the Japan Patent Office's (JPO), called "Survey of Intellectual Property Activities (SIPA)." Descriptive regressions of IP strategy indicators suggest a non-linear relationship between firm size and licensing propensity.
A recent study identified biologically diverse TNBC clusters by using transcriptome datasets from 21 independent studies [ 16].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com