scholarly article | Q13442814 |
P5530 | Altmetric DOI | 10.3109/17435390.2016.1161857 |
P6179 | Dimensions Publication ID | 1025216782 |
P356 | DOI | 10.3109/17435390.2016.1161857 |
P8608 | Fatcat ID | release_jwdzl2zwjzecnbq5jp74al5exm |
P953 | full work available at URL | http://eprints.whiterose.ac.uk/96571/ |
P6366 | Microsoft Academic ID | 2299433787 |
P698 | PubMed publication ID | 26956430 |
P1154 | Scopus EID | 2-s2.0-84962359284 |
P50 | author | David Winkler | Q52234967 |
CaiYun Ma | Q53843828 | ||
P2093 | author name string | Xue Z Wang | |
Ceyda Oksel | |||
Terry Wilkins | |||
Cai Y Ma | |||
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P433 | issue | 7 | |
P921 | main subject | decision tree | Q831366 |
P304 | page(s) | 1001-1012 | |
P577 | publication date | 2016-03-08 | |
P1433 | published in | Nanotoxicology | Q1964708 |
P1476 | title | Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches | |
P478 | volume | 10 |
Q64231472 | Computational models for the assessment of manufactured nanomaterials: Development of model reporting standards and mapping of the model landscape |
Q47282095 | Decision tree models to classify nanomaterials according to the DF4nanoGrouping scheme |
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Q36199516 | Materials Informatics: Statistical Modeling in Material Science |
Q92632878 | Practices and Trends of Machine Learning Application in Nanotoxicology |
Q36399257 | What if the number of nanotoxicity data is too small for developing predictive Nano-QSAR models? An alternative read-across based approach for filling data gaps |
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