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open access

SUPREME: multiomics data integration using graph convolutional networks

Description: Article states that, to pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. On breast cancer subtyping, unlike existing tools, SUPREME generates patient embeddings from multiple similarity networks utilizing multiomics features and integrates them with raw features to capture complementary signals.
Date: June 28, 2023
Creator: Kesimoglu, Ziynet Nesibe & Bozdag, Serdar
Partner: UNT College of Engineering
open access

Automatic Identification of Research Articles from Crawled Documents

Description: Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.
Date: February 28, 2014
Creator: Caragea, Cornelia; Wu, Jian; Williams, Kyle; Das Gollapalli, Sujatha; Khabsa, Madian; Teregowda, Pradeep et al.
Partner: UNT College of Engineering
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