In Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers.

Rachid KaddouraFatma Al QutamiMohamed AsbaitaMahmood Yaseen Hachim

Published in: Life (Basel, Switzerland) (2023)

The shortlisted 34 DEGs will aid clinicians in diagnosing TNBC more accurately as well as developing targeted therapies to improve patient prognosis. In vitro and in vivo studies are further recommended to validate the results of the current study.

Keyphrases

electronic health record
molecular docking
big data
rna seq
machine learning
artificial intelligence
deep learning