Statistical Series: Opportunities and challenges of sperm motility subpopulation analysis

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 t...

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Bibliographic Details
Published in:Theriogenology 2011-03, Vol.75 (5), p.783-795
Main Authors: Martínez-Pastor, Felipe, Tizado, E. Jorge, Garde, J. Julian, Anel, Luis, de Paz, Paulino
Format: Article
Language:English
Subjects:
Animals
Computers
Fertility
Humans
Male
Reproducibility of Results
Semen Analysis - methods
Semen Analysis - statistics & numerical data
Semen Analysis - trends
Sperm Motility
Spermatozoa - classification
Spermatozoa - physiology
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Summary: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.
ISSN:0093-691X
1879-3231
DOI:10.1016/j.theriogenology.2010.11.034