Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-87101-7_20
Reference17 articles.
1. Perscheid, C., Grasnick, B., Uflacker, M.: Integrative gene selection on gene expression data: providing biological context to traditional approaches. J. Integr. Bioinform. 2018, 16 (2018). https://doi.org/10.1515/jib-2018-0064
2. Yousef, M., Kumar, A., Bakir-Gungor, B.: Application of biological domain knowledge based feature selection on gene expression data. Entropy 23, 2 (2020). https://doi.org/10.3390/e23010002
3. Qi, J., Tang, J.: Integrating gene ontology into discriminative powers of genes for feature selection in microarray data. In: Proceedings of the Proceedings of the 2007 ACM Symposium on Applied Computing – (SAC 2007), p. 430. ACM Press: Seoul, Korea (2007)
4. Fang, O.H., Mustapha, N., Sulaiman, M.: An Integrative gene selection with association analysis for microarray data classification. IDA 18, 739–758 (2014). https://doi.org/10.3233/IDA-140666
5. Yousef, M., Abdallah, L., Allmer, J.: MaTE: Discovering expressed interactions between micrornas and their targets. Bioinformatics 35, 4020–4028 (2019). https://doi.org/10.1093/bioinformatics/btz204
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