Ontology highlight
ABSTRACT:
PROVIDER: EGAD00010000881 | EGA |
REPOSITORIES: EGA

Lan Chunyan C Heindl Andreas A Huang Xin X Xi Shaoyan S Banerjee Susana S Liu Jihong J Liu Jihong J Yuan Yinyin Y
Scientific reports 20151117
Concerted efforts in genomic studies examining RNA transcription and DNA methylation patterns have revealed profound insights in prognostic ovarian cancer subtypes. On the other hand, abundant histology slides have been generated to date, yet their uses remain very limited and largely qualitative. Our goal is to develop automated histology analysis as an alternative subtyping technology for ovarian cancer that is cost-efficient and does not rely on DNA quality. We developed an automated system f ...[more]