RT info:eu-repo/semantics/article
T1 Statistical Series: Opportunities and challenges of sperm motility subpopulation analysis
A1 Martínez Pastor, Felipe
A1 Tizado Morales, Emilio Jorge
A1 Garde López-Brea, Julián
A1 Anel Rodríguez, Luis
A1 Paz Cabello, Paulino de
A2 Biologia Celular
K1 Veterinaria
K1 CASA
K1 Automated semen analysis
K1 Sperm subpopulations
K1 Multivariate analysis
K1 Cluster analysis
AB Computer-assisted sperm analysis (CASA) allows assessing the motility of individual spermatozoa, generating huge datasets. These datasets can be analyzed using data mining techniques such as cluster analysis, to group the spermatozoa in subpopulations with biological meaning. This review considers the use of statistical techniques for clustering CASA data, their challenges and possibilities. There are many clustering approaches potentially useful for grouping sperm motility data, but some options may be more appropriate than others. Future development should focus not only in improvements of subpopulation analysis, but also in finding consistent biological meanings for these subpopulations.
PB Elsevier
YR 2019
FD 2019-04-23
LK http://hdl.handle.net/10612/10572
UL http://hdl.handle.net/10612/10572
NO Theriogenology, 2011, vol. 75, n. 5
NO P. 783-795
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 19-abr-2024