An Evaluation of Machine Learning Approaches for the Prediction of Essential Genes in Eukaryotes Using Protein Sequence-Derived Features
The availability of whole-genome sequences and associated multi-omics data sets, combined with advances in gene knockout and knockdown methods, has enabled large-scale annotation and exploration of gene and protein functions in eukaryotes. Knowing which genes are essential for the survival of eukary...
Main Authors: | Tulio L. Campos, Pasi K. Korhonen, Robin B. Gasser, Neil D. Young |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2019-01-01
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Series: | Computational and Structural Biotechnology Journal |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037019301357 |
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