Open AccessCorrection: Machine learning approach yields epigenetic biomarkers of food allergy: A novel 13-gene signature to diagnose clinical reactivity
Author(s) -
PLOS ONE Staff
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0220470
Subject(s) - epigenetics , food allergy , computational biology , signature (topology) , bioinformatics , medicine , allergy , gene , biology , genetics , immunology , mathematics , geometry