Computational prediction of diagnostic biomarker candidates and prognostic gene signature from DNA replication-related genes in breast cancer

SVM-RFE proved to be a valuable machine-learning method to detect diagnostic genes and a novel prognostic DNA replication-related gene signature was proposed to predict overall survival in breast cancer.

Authors

Ceren Sucularlı

Institutions

Hacettepe University (TR)

Publication Details

Journal: Discover Oncology
Published: 2025-09-26
DOI: https://doi.org/10.1007/s12672-025-03570-4
Primary Topic: Bioinformatics and Genomic Networks
Type: article
Field-Weighted Citation Impact: 0.00

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article

Computational prediction of diagnostic biomarker candidates and prognostic gene signature from DNA replication-related genes in breast cancer

Ceren Sucularlı

Sep 26, 2025

Discover Oncology

Bioinformatics and Genomic Networks

article

Computational prediction of diagnostic biomarker candidates and prognostic gene signature from DNA replication-related genes in breast cancer

Ceren Sucularlı

September 26, 2025article en

Abstract

Discover OncologyVol. 16(1)

Hacettepe University (TR)

Openalex Percentile: Top 77%

Bioinformatics and Genomic Networks

DOI Open Access PDF OpenAlex

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Computational prediction of diagnostic biomarker candidates and prognostic gene signature from DNA replication-related genes in breast cancer — Ceren Sucularlı · Discover Oncology (2025) | TGRS Research Map | TGRS