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An integrative machine learning approach for prediction of toxicity-related drug safety
View ORCID ProfileArtem Lysenko Correspondence email, Alok Sharma, View ORCID ProfileKeith A Boroevich, View ORCID ProfileTatsuhiko Tsunoda Correspondence email
Artem Lysenko
1Laboratory for Medical Science Mathematics, Rikagaku Kenkyūjyo Center for Integrative Medical Sciences, Tsurumi, Japan
Alok Sharma
1Laboratory for Medical Science Mathematics, Rikagaku Kenkyūjyo Center for Integrative Medical Sciences, Tsurumi, Japan
2School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Keith A Boroevich
1Laboratory for Medical Science Mathematics, Rikagaku Kenkyūjyo Center for Integrative Medical Sciences, Tsurumi, Japan
Tatsuhiko Tsunoda
1Laboratory for Medical Science Mathematics, Rikagaku Kenkyūjyo Center for Integrative Medical Sciences, Tsurumi, Japan
3Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
4Core Research for Evolutionary Science and Technology Program, Japan Science and Technology Agency, Tokyo, Japan
Published 28 November 2018. DOI: 10.26508/lsa.201800098
Integrative prediction of drug toxicity
Artem Lysenko, Alok Sharma, Keith A Boroevich, Tatsuhiko Tsunoda
Life Science Alliance Nov 2018, 1 (6) e201800098; DOI: 10.26508/lsa.201800098
In this Issue
Volume 1, No. 6
December 2018
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