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Published on in Vol 4 (2026)

Preprints (earlier versions) of this paper are available at https://www.biorxiv.org/content/10.1101/2025.02.17.638732v1, first published .
Machine Learning Ensemble Investigates Age in the Transcriptomic Response to Spaceflight in Murine Mammary Tissue: Observational Study

Machine Learning Ensemble Investigates Age in the Transcriptomic Response to Spaceflight in Murine Mammary Tissue: Observational Study

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
Article Authors Cited by Tweetations Metrics

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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