Oy Vey! A Comment on "Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships Outperforming Animal Test Reproducibility"
Toxicol Sci
.
2019 Jan 1;167(1):3-4.
doi: 10.1093/toxsci/kfy286.
Authors
Vinicius M Alves
1
,
Joyce Borba
1
2
,
Stephen J Capuzzi
1
,
Eugene Muratov
1
3
,
Carolina H Andrade
2
,
Ivan Rusyn
4
,
Alexander Tropsha
1
Affiliations
1
UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina 27599.
2
Faculty of Pharmacy, Federal University of Goias, Goiania, Goias 74605-170, Brazil.
3
Odessa National Polytechnic University, Odessa 65000, Ukraine.
4
College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas 77843.
PMID:
30500930
PMCID:
PMC6317419
DOI:
10.1093/toxsci/kfy286
No abstract available
Publication types
Research Support, N.I.H., Extramural
Comment
MeSH terms
Animals
Big Data*
Machine Learning*
Reproducibility of Results
Structure-Activity Relationship
Grants and funding
P42 ES027704/ES/NIEHS NIH HHS/United States