Work

Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

Year: 2023

Type: supplementary-materials

Abstract: Steps of Cox regression analyses to final models.

DOI: 10.1158/1078-0432.22476728.v1

Authors: Annette Lischka, Natalie Doberstein, Sandra Freitag-Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer-Haddad, Thomas Ried, Gert Auer, Jens K. Habermann

Language: English

Topic: Cancer Genomics and Diagnostics

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W4361815633

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