Work

A Computational Statistics Approach to Evaluate Blood Biomarkers for Breast Cancer Risk Stratification

Year: 2019

Type: article

Study design: Observational Study

Source: Hormones and Cancer

DOI: 10.1007/s12672-019-00372-3

Authors: Kaan Oktay, Ashlie Santaliz-Casiano, Meera Patel, Natascia Marino, Anna Maria V. Storniolo, Hamdi Torun, Burak Acar, Zeynep Madak Erdogan

Institutions: Boğaziçi University, University of Illinois Urbana-Champaign, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Northumbria University, National Center for Supercomputing Applications, Cancer Center at Illinois, Carl R. Woese Institute for Genomic Biology

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Agriculture, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, University of Illinois at Urbana-Champaign, National Institute of Food and Agriculture, Graduate College, University of Illinois at Urbana-Champaign, College of Agricultural, Consumer and Environmental Sciences, University of Illinois at Urbana-Champaign

Awards: G1391360075, G4372437459

OpenAlex ID: W2994875918

FWCI: 1.146

Cites: 49

Cited by: 22

Related to: 10