A Machine Learning Approach for Predicting Essentiality of Metabolic Genes
Author:
Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-3658-9_20
Reference33 articles.
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3. Zhan T, Boutros M (2016) Towards a compendium of essential genes-From model organisms to synthetic lethality in cancer cells. Crit Rev Biochem Mol Biol 51:74–85. issn: 15497798
4. Lu Y, Deng J, Rhodes JC, Lu H, Lu LJ (2014) Predicting essential genes for identifying potential drug targets in Aspergillus fumigatus. Comput Biol Chem 50:29–40
5. Aromolaran O, Aromolaran D, Isewon I, Oyelade J (2021) Machine learning approach to gene essentiality prediction: a review. Brief Bioinform 22(5):bbab128. issn: 14774054
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