| Autor: |
Eduardo Bezerra, Ribamar Matias, Ivair Luques, Kele Teixeira Belloze, Luciana Conceição Dias Campos |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Networks in Systems Biology ISBN: 9783030518615 |
| Popis: |
Identifying essential proteins is vital to understanding the minimum requirements for maintaining life. The correct identification of essential proteins contributes to guide the diagnosis of diseases and to identify new drug targets. The continuous advances of experimental methods contribute to generate and accumulate gene essentiality data that facilitates computational methods. Machine learning methods focused on predicting essential proteins have gained much traction in recent years. Among them, we can highlight artificial neural networks. Most of these methods make use of sequence and network-based features. In this chapter, we initially present a background related to artificial neural networks, which encompasses different neural network architectures. Then, we review the research papers that used artificial neural networks as a machine learning method for predicting essential proteins. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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