Corrigendum to “Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles”

Joint Authors

Bernabò, Nicola
Rapino, Cinzia
Barboni, Barbara
Berardinelli, Paolo
Perruzza, Davide
Valbonetti, Luca
Falanga, Ilaria
Russo, Valentina
Mauro, Annunziata
Stuppia, Liborio
Maccarrone, Mauro

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-1, 1 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-05-28

Country of Publication

Egypt

No. of Pages

1

Main Subjects

Medicine

Abstract EN

In the article titled “Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles” [1], information regarding the support of the Italian Ministry for Instruction, University and Research (MIUR), was omitted in the Acknowledgments section.

The corrected section appears below:

American Psychological Association (APA)

Perruzza, Davide& Bernabò, Nicola& Rapino, Cinzia& Valbonetti, Luca& Falanga, Ilaria& Russo, Valentina…[et al.]. 2020. Corrigendum to “Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles”. BioMed Research International،Vol. 2020, no. 2020, pp.1-1.
https://search.emarefa.net/detail/BIM-1132456

Modern Language Association (MLA)

Perruzza, Davide…[et al.]. Corrigendum to “Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles”. BioMed Research International No. 2020 (2020), pp.1-1.
https://search.emarefa.net/detail/BIM-1132456

American Medical Association (AMA)

Perruzza, Davide& Bernabò, Nicola& Rapino, Cinzia& Valbonetti, Luca& Falanga, Ilaria& Russo, Valentina…[et al.]. Corrigendum to “Artificial Neural Network to Predict Varicocele Impact on Male Fertility through Testicular Endocannabinoid Gene Expression Profiles”. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-1.
https://search.emarefa.net/detail/BIM-1132456

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1132456