A combined test for feature selection on sparse metaproteomics data - an alternative to missing value imputation
Sandra Plancade, Magali Berland, Mélisande Blein‐Nicolas, Olivier Langella, Ariane Bassignani, Catherine Juste
This paper proposes a combined test for feature selection in sparse metaproteomics data, avoiding missing value imputation by addressing both missingness mechanisms and differential intensity.
PeerJ · Jun 24, 2022Peer-reviewedBioinformatics