Breast cancer metadata analysis for biomarkers discovery

This project focuses on identifying key biomarkers for breast cancer prognosis by analyzing transcriptomic data from multiple patient cohorts. It aims to predict overall survival using core genes and explore potential therapeutic targets. Additionally, the study investigates genetic mutations and potential drug responses, providing insights into improving breast cancer prognosis and treatment strategies. The search protocol and the cohorts overall summary are available under the "Files" tab above

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/65f87
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Breast cancer metadata analysis for biomarkers discovery

OSF Preprints (OSF Preprints)
Bioinformatics and Genomic Networks
article

Breast cancer metadata analysis for biomarkers discovery

article en

Abstract

This project focuses on identifying key biomarkers for breast cancer prognosis by analyzing transcriptomic data from multiple patient cohorts. It aims to predict overall survival using core genes and explore potential therapeutic targets. Additionally, the study investigates genetic mutations and potential drug responses, providing insights into improving breast cancer prognosis and treatment strategies. The search protocol and the cohorts overall summary are available under the "Files" tab above

OSF Preprints (OSF Preprints)
Good health and well-being
Openalex Percentile: Top 52%
Bioinformatics and Genomic Networks
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Breast cancer metadata analysis for biomarkers discovery · OSF Preprints (OSF Preprints) (2025) | TGRS Research Map | TGRS