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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
Claim

Rdf Dataset For Article: A Confidence Predictor For Logd Using Conformal Regression And A Support-Vector Machine

Research datakeyboard_double_arrow_right Dataset 05 Dec 2017Publisher:Zenodo
Authors: Lapins, Maris; Arvidsson, Staffan; Lampa, Samuel; Berg, Arvid; Schaal, Wesley; Alvarsson, Jonathan; Spjuth, Ola;

doi: 10.5281/zenodo.1116889

Rdf Dataset For Article: A Confidence Predictor For Logd Using Conformal Regression And A Support-Vector Machine

Abstract

RDF dataset described in article: "A confidence predictor for logD using conformal regression and a support-vector machine" (Manuscript in preparation). The dataset contains conformal logD values at 90% confidence level, computed for 91M compounds from PubChem, in RDF format. The .hdt.gz version contains the dataset in RDF HDT format (http://www.rdfhdt.org/), compressed with tar and gzip. The archive contains both the .hdt file, and an index file, generated by the hdtSearch C++ tool. The .ttl.gz file is a gzipped file in RDF Turtle format (https://www.w3.org/TR/turtle/).

Related Organizations
Keywords

Machine Learning, Support Vector Machine, QSAR, Conformal Regression, RDF HDT, logD, RDF

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
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24
7