Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets. | Brief Bioinform;21(2): 421-428, 2020 03 23. | MEDLINE

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Investigating the role of Simpson's paradox in the analysis of top-ranked features in high-dimensional bioinformatics datasets.

Freitas, Alex A.

Affiliation

Freitas AA; University of Kent, Kent, UK.

Brief Bioinform ; 21(2): 421-428, 2020 03 23.

Article in En | MEDLINE | ID: mdl-30629111

Subject(s)

Computational Biology; Datasets as Topic; Machine Learning

Key words

Gene Ontology; ageing-related genes; classification; feature ranking; machine learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Datasets as Topic / Machine Learning Type of study: Prognostic_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Datasets as Topic / Machine Learning Type of study: Prognostic_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom