English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/143560
Título

Taking advantage of the use of supervised learning methods for characterization of sperm population structure related with freezability in the Iberian red deer

AutorRamón, Manuel; Martínez-Pastor, Felipe ; García-Álvarez, Olga; Maroto-Morales, Alejandro ; Soler, Ana J. ; Jiménez-Rabadán, Pilar; Fernández-Santos, M. Rocío ; Garde, José Julián
Palabras claveSupport vector machines
Sperm subpopulations
Iberian red deer
Sperm freezability
Fecha de publicación2012
EditorElsevier
CitaciónTheriogenology 77(8): 1661-1672 (2012)
ResumenUsing Iberian red deer as a model, this study presents a supervised learning method, the Support Vector Machines (SVM), to characterize sperm population structure related with freezability. Male freezability was assessed by evaluating motility, membrane status and mitochondrial membrane potential of sperm after a freezing-thawing procedure. The SVM model was generated using sperm motility information captured by computer-assisted sperm analysis (CASA) from thawed semen, belonging to six stags with marked differences on their freezability. A total of 1369 sperm tracks were recorded for seven kinematic parameters and assigned to four motility patterns based on them: weak motile, progressive, transitional and hyperactivated-like. Then, these data were split in two sets: the training set, used to train the SVM model, and the testing set, used to examine how the SVM method and three other unsupervised methods, a non-hierarchical, a hierarchical and a multistep clustering procedures, performed the sperm classification into subpopulations. The SVM was revealed as the most accurate method in the characterization of sperm subpopulations, showing all the sperm subpopulations obtained in this way high significant correlations with those sperm parameters used to characterize freezability of males. Given its superiority, the SVM method was used to characterize the sperm motile subpopulations in Iberian red deer. Sperm motile data from frozen-thawed semen belonging to 25 stags were recorded and loaded into the SVM model. The sperm population structure revealed that those males showing poor freezability were characterized by high percentages of sperm with a weak motility pattern. In opposite, males showing good freezability were characterized by higher percentages of sperm with a progressive and hyperactivated-like motility pattern and lower percentages of sperm with a weak motile pattern. We also identified a sperm subpopulation with a transitional motility pattern. This subpopulation increased as the freezability of males improved, and may be used as indicative of overall sperm motility.
URIhttp://hdl.handle.net/10261/143560
DOI10.1016/j.theriogenology.2011.12.011
Identificadoresdoi: 10.1016/j.theriogenology.2011.12.011
issn: 0093-691X
e-issn: 1879-3231
Aparece en las colecciones: (IREC) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.