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Predicting development of sustained unresponsiveness to milk oral immunotherapy using epitope-specific antibody binding profiles |
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| Authors: | Mayte Suárez-Fariñas Maria Suprun Helena L Chang Gustavo Gimenez Galina Grishina Robert Getts Kari Nadeau Robert A Wood Hugh A Sampson |
| Institution: | 1. Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY;2. Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY;3. Pediatrics, Allergy and Immunology, Icahn School of Medicine at Mount Sinai, New York, NY;4. AllerGenis, Hatfield, Pa;5. Department of Pediatrics, Stanford University School of Medicine, Stanford, Calif;6. Department of Pediatrics, Division of Allergy/Immunology, Johns Hopkins University School of Medicine, Baltimore, Md |
| Abstract: |  |
| Keywords: | Cow's milk allergy oral immunotherapy omalizumab desensitization sustained unresponsiveness allergenic epitopes epitope-specific antibodies machine learning elastic net algorithm bootstrap aggregating strategy AUC Area under the curve BF Bagging frequency ESAB Epitope-specific antibody binding FDR False discovery rate ICC Intraclass correlation coefficient MOIT Milk oral immunotherapy OFC Oral food challenge OIT Oral immunotherapy PBS-TBN 1× PBS plus 0 02% Tween 20 plus 0 1% BSA SCP Serum component protein SU Sustained unresponsiveness |
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