Identification of Novel Diagnostic and Prognostic Gene Signature Biomarkers for Breast Cancer Using Artificial Intelligence and Machine Learning Assisted Transcriptomics Analysis.

Zeenat Mirza Md Shahid Ansari Md Shahid Iqbal Nesar Ahmad Nofe Alganmi Haneen Reda BanjarMohammed H Al-QahtaniSajjad Karim

Published in: Cancers (2023)

The ML approach helped construct novel diagnostic and prognostic models based on the expression profiling of BC. The identified nine-gene signature and eight-gene signatures showed excellent potential in BC diagnosis and prognosis, respectively.

Keyphrases

artificial intelligence
machine learning
genome wide
genome wide identification
copy number
big data
deep learning
dna methylation
risk assessment
bioinformatics analysis
breast cancer risk