Response to Hulman and colleagues regarding “Glucotypes reveal new patterns of glucose dysregulation”
Author(s) -
Alessandra Breschi,
Dalia Perelman,
M Snyder
Publication year - 2021
Publication title -
plos biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.127
H-Index - 271
eISSN - 1545-7885
pISSN - 1544-9173
DOI - 10.1371/journal.pbio.3001092
Subject(s) - biology , field (mathematics) , data science , computational biology , computer science , mathematics , pure mathematics
In a response to a Formal Comment critiquing their model for classifying individualized glucose patterns into glucotypes, these authors stand by their results and conclusions, which can be reproduced using their publicly available data, and maintain that improved algorithms for analyzing CGM data will continue to emerge and enrich the field.
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