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

Host publication type

Journal

Target group

Scientific

Article type

Journal article

Peer reviewed

Peer-reviewed

Authors of the publication

Number of authors

3

Authors

Sakhteman, Amirhossein; Ghosh, Arindam; Fortino, Vittorio

Publication channel information

Title of journal/series

Bioinformatics

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