Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

Abstract excerpt

Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. Due to the complexity of BC, the prediction of proteins involved in this disease is a trending topic in drug design. This work is proposing accurate prediction classifier for BC proteins using six sets of...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Machine Learning in Bioinformatics
• Share to Peptidase Inhibition and Analysis
• Share to vaccines and immunoinformatics approaches