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”

James A Casaletto   1 , BS, MS, PhD ;   Tyler Zhao   2 ;   Jay Yeung   2 ;   Abigail Lee   2 ;   Amaan Ansari   2, 3 , BSc ;   Amber Fry   2 ;   Arnav Mishra   2 ;   Ayush Raj   2 ;   Kathryn Sun   2 ;   Sofia Lendahl   2 , BA ;   Willy Guan   2 ;   Melissa S Cline   4 , PhD ;   Sylvain V Costes   5

1 Blue Marble Space Institute of Science, Seattle, WA, United States

2 Student Association for Applied Statistics (SAAS), University of California, Berkeley, Berkeley, CA, United States

3 University of Mannheim, Mannheim, Germany

4 Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, United States

5 NASA Ames, Mountain View, CA, United States

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