scholarly article | Q13442814 |
P356 | DOI | 10.1080/17435390.2016.1202352 |
P698 | PubMed publication ID | 27309010 |
P50 | author | Rong Ji | Q42717128 |
Chengfang Pang | Q57069752 | ||
Danail Hristozov | Q57231876 | ||
John P. Giesy | Q63214976 | ||
Baoshan Xing | Q69025069 | ||
Qing Zhao | Q83746668 | ||
P2093 | author name string | Yue Zhou | |
Yan Hu | |||
Fengchang Wu | |||
Yunsong Mu | |||
Yu Qie | |||
P2860 | cites work | Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs | Q24815757 |
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P433 | issue | 9 | |
P921 | main subject | nanoparticle | Q61231 |
metal poisoning | Q4215775 | ||
P304 | page(s) | 1207-1214 | |
P577 | publication date | 2016-07-11 | |
P1433 | published in | Nanotoxicology | Q1964708 |
P1476 | title | Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs | |
P478 | volume | 10 |
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Q47282095 | Decision tree models to classify nanomaterials according to the DF4nanoGrouping scheme |
Q38644401 | ENVIRONMENTAL BEHAVIOR, POTENTIAL PHYTOTOXICITY, AND ACCUMULATION OF COPPER OXIDE NANOPARTICLES AND ARSENIC TO RICE PLANTS. |
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Q52327090 | Nanomaterials in the Environment: Behavior, Fate, Bioavailability, and Effects-An Updated Review. |
Q92632878 | Practices and Trends of Machine Learning Application in Nanotoxicology |
Q38668201 | Regulation of engineered nanomaterials: current challenges, insights and future directions |
Q49306400 | Toxicological Implications of Released Particulate Matter during Thermal Decomposition of Nano-Enabled Thermoplastics. |
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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