Prediction of lysine glutarylation sites by maximum relevance minimum redundancy feature selection

Zhe Ju; Jianjun He

doi:10.1016/j.ab.2018.04.005

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Prediction of lysine glutarylation sites by maximum relevance minimum redundancy feature selection

Zhe Ju Jianjun He

Year: 2018 Journal: Analytical Biochemistry Vol: 550 Pages: 1-7 Publisher: Elsevier BV

DOI: 10.1016/j.ab.2018.04.005

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Keywords:

Redundancy (engineering) Minimum redundancy feature selection Feature selection Computer science Pattern recognition (psychology) Lysine Relevance (law) Encoding (memory) Binary number Artificial intelligence Amino acid ENCODE Selection (genetic algorithm) Computational biology Data mining Chemistry Mathematics Biology Biochemistry

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Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Genomics and Phylogenetic Studies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

RNA and protein synthesis mechanisms

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Prediction of lysine glutarylation sites by maximum relevance minimum redundancy feature selection

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