Feature selection by replicate reproducibility and non-redundancy
Tümay Capraz; Wolfgang Huber · 2024 · Bioinformatics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract Motivation A fundamental step in many analyses of high-dimensional data is dimension reduction. Two basic approaches are introduction of new synthetic coordinates and selection of extant features. Advantages of the latter include…
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Metadata source: Crossref · DOI 10.1093/bioinformatics/btae548