loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Gabriela Berni Brianezi ; Fernando Frei ; José Celso Rocha and Marcelo Fábio Gouveia Nogueira

Affiliation: São Paulo State University (UNESP), Brazil

Keyword(s): Superovulation, cluster analysis, artificial neural network, embryo, Mus musculus

Abstract: Complex biological systems require sophisticated approach for analysis, once there are variables with distinct measure levels to be analyzed at the same time in them. The mouse assisted reproduction, e.g. superovulation and viable embryos production, demand a multidisciplinary control of the environment, endocrinologic and physiologic status of the animals, of the stressing factors and the conditions which are favorable to their copulation and subsequently oocyte fertilization. In the past, analyses with a simplified approach of these variables were not well succeeded to predict the situations that viable embryos were obtained in mice. Thereby, we suggest a more complex approach with association of the Cluster Analysis and the Artificial Neural Network to predict embryo production in superovulated mice. A robust prediction could avoid the useless death of animals and would allow an ethic management of them in experiments requiring mouse embryo.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.132.223

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Berni Brianezi, G.; Frei, F.; Rocha, J. and Fábio Gouveia Nogueira, M. (2012). Cluster Analysis and Artificial Neural Network on the Superovulatory Response Prediction in Mice. In Proceedings of the International Workshop on Veterinary Biosignals and Biodevices (BIOSTEC 2012) - VBB; ISBN 978-989-8425-94-2, SciTePress, pages 79-84. DOI: 10.5220/0003876600790084

@conference{vbb12,
author={Gabriela {Berni Brianezi}. and Fernando Frei. and José Celso Rocha. and Marcelo {Fábio Gouveia Nogueira}.},
title={Cluster Analysis and Artificial Neural Network on the Superovulatory Response Prediction in Mice},
booktitle={Proceedings of the International Workshop on Veterinary Biosignals and Biodevices (BIOSTEC 2012) - VBB},
year={2012},
pages={79-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003876600790084},
isbn={978-989-8425-94-2},
}

TY - CONF

JO - Proceedings of the International Workshop on Veterinary Biosignals and Biodevices (BIOSTEC 2012) - VBB
TI - Cluster Analysis and Artificial Neural Network on the Superovulatory Response Prediction in Mice
SN - 978-989-8425-94-2
AU - Berni Brianezi, G.
AU - Frei, F.
AU - Rocha, J.
AU - Fábio Gouveia Nogueira, M.
PY - 2012
SP - 79
EP - 84
DO - 10.5220/0003876600790084
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic