Platform-independent classification system for predicting high-grade serous 
ovarian carcinoma molecular subtypes

A Shilpi, M Kandpal, Y Ji, BL Seagle, RV Davuluri

Research output: Contribution to journal › Article

Original language	English (US)
Pages (from-to)	1-9
Number of pages	9
Journal	JCO Clinical Cancer Informatics
Volume	3
Issue number	1
State	Published - Apr 3 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{b2f317694acf4113bed1af0961600a39,

title = "Platform-independent classification system for predicting high-grade serous ovarian carcinoma molecular subtypes",

author = "A Shilpi and M Kandpal and Y Ji and BL Seagle and RV Davuluri",

year = "2019",

month = apr,

day = "3",

language = "English (US)",

volume = "3",

pages = "1--9",

journal = "JCO Clinical Cancer Informatics",

issn = "2473-4276",

publisher = "Lippincott Williams and Wilkins",

number = "1",

}