This paper is in the following e-collection/theme issue:

Authors' Responses to Peer-Reviews (11) General Original Articles (10) Letters to the Editor (86) Fast-track articles (8) Journal Club CATCH-IT Reports* (7)

Published on in Vol 4 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88583, first published .
Authors’ Response to Peer Reviews of “Machine Learning Ensemble Investigates Age in the Transcriptomic Response to Spaceflight in Murine Mammary Tissue: Observational Study”

Authors’ Response to Peer Reviews of “Machine Learning Ensemble Investigates Age in the Transcriptomic Response to Spaceflight in Murine Mammary Tissue: Observational Study”

Authors’ Response to Peer Reviews of “Machine Learning Ensemble Investigates Age in the Transcriptomic Response to Spaceflight in Murine Mammary Tissue: Observational Study”

Authors of this article:

James A Casaletto1 Author Orcid Image ;   Tyler Zhao2 Author Orcid Image ;   Jay Yeung2 Author Orcid Image ;   Abigail Lee2 Author Orcid Image ;   Amaan Ansari2, 3 Author Orcid Image ;   Amber Fry2 Author Orcid Image ;   Arnav Mishra2 Author Orcid Image ;   Ayush Raj2 Author Orcid Image ;   Kathryn Sun2 Author Orcid Image ;   Sofia Lendahl2 Author Orcid Image ;   Willy Guan2 Author Orcid Image ;   Melissa S Cline4 Author Orcid Image ;   Sylvain V Costes5 Author Orcid Image
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