EDTox: an R Shiny application to predict the endocrine disruption potential of compounds

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
3
Authors
Sakhteman, Amirhossein; Ghosh, Arindam; Fortino, Vittorio

Publication channel information

Title of journal/series
Bioinformatics
ISSN (print)
1367-4803
ISSN (electronic)
1367-4811
ISSN (linking)
1367-4803
Publication forum ID
52357
Publication forum level
3
Internationality
Yes

Detailed publication information

Publication year
2022
Reporting year
2022
Journal/series volume number
38
Journal/series issue number
7
Page numbers
2066-2069
DOI
10.1093/bioinformatics/btac045
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
3111 Biomedicine

Source database ID

WoS ID
WOS:000774215400047
Scopus ID
2-s2.0-85128369654