DocumentCode :
3714548
Title :
Understanding heterogeneity in pregnancy-associated breast cancer
Author :
T. Murlidharan Nair
Author_Institution :
Department of Biological Sciences and Computer Science/Informatics, Indiana University South Bend, 1700 Mishawaka Ave, 46634 USA
fYear :
2015
Firstpage :
1192
Lastpage :
1196
Abstract :
Breast cancers diagnosed during pregnancy are generally in their advanced stages. These cancers occurring during pregnancy and up to one year postpartum are termed as pregnancy associated breast cancer. Recent genomic studies by Harvell et. al. was the first large scale study that attempted to identify molecular signatures associated with pregnancy associated breast cancer. In this study, we have rigorously analyzed the data with a view to identify features involved in within-class and between-class separation. The results reveal features that are unique between classes, as well as point to the importance of understanding heterogeneity within the same class.
Keywords :
"Pregnancy","Cancer","Pediatrics"
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/BIBM.2015.7359851
Filename :
7359851
Link To Document :
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