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Prediction of breast cancer proteins using molecular descriptors and artificial neural networks: a focus on cancer immunotherapy proteins, metastasis driver proteins, and RNA-binding proteins

2019-11-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Breast cancer (BC) is a heterogeneous disease characterized by an intricate interplay between different biological aspects such as ethnicity, genomic alterations, gene expression deregulation, hormone disruption, signaling pathway alterations and environmental determinants. Due to the complexity of BC, the prediction of proteins involved in this disease is a trending topic i...

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Literature Corpus work
c7823d18-5e32-5fbe-8b79-08c1ee181897
DOI
10.1101/840108
Open publication

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Prediction of breast cancer proteins using molecular descriptors and artificial neural networks: a focus on cancer immunotherapy proteins, metastasis driver proteins, and RNA-binding proteinsDOI 10.1101/840108
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