Identification of structure-specific hepatotoxic potential of different pyrrolizidine alkaloids using Random Forest and artificial Neural Network. (20th October 2017)

Record Type:
Journal Article
Title:
Identification of structure-specific hepatotoxic potential of different pyrrolizidine alkaloids using Random Forest and artificial Neural Network. (20th October 2017)
Main Title:
Identification of structure-specific hepatotoxic potential of different pyrrolizidine alkaloids using Random Forest and artificial Neural Network
Authors:
Schöning, Verena
Hammann, Felix
Drewe, Jürgen
Abstract:
Is Part Of:
Toxicology letters. Volume 280(2017)Supplement 1
Journal:
Toxicology letters
Issue:
Volume 280(2017)Supplement 1
Issue Display:
Volume 280, Issue 1 (2017)
Year:
2017
Volume:
280
Issue:
1
Issue Sort Value:
2017-0280-0001-0000
Page Start:
S197
Page End:
Publication Date:
2017-10-20
Subjects:
Toxicology -- Periodicals
363.179
Journal URLs:
http://www.sciencedirect.com/science/journal/03784274 ↗
http://www.elsevier.com/journals ↗
DOI:
10.1016/j.toxlet.2017.07.858 ↗
Languages:
English
ISSNs:
0378-4274
Deposit Type:
Legaldeposit
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library DSC - 8873.042000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:
8563.xml