Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice
Kevin Li, Riya Desai, Ryan T. Scott, Joel Ricky Steele, Meera Machado, Samuel Demharter, Adrienne Hoarfrost, Jessica L. Braun, Val A. Fajardo, Lauren M. Sanders, Sylvain V. Costes · 2023
Read Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice by Kevin Li, Riya Desai, Ryan T. Scott, Joel Ricky Steele, Meera Machado, Samuel Demharter, Adrienne Hoarfrost, Jessica L. Braun, Val A. Fajardo, Lauren M. Sanders, Sylvain V. Costes (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10719374.txt.
Description
Kevin Li and co-authors mine spaceflight data to find molecular signs of muscle wasting in mice, in a 2023 paper. Floating in weightlessness weakens muscle, partly because cells mishandle calcium. NASA keeps a public store of data from mouse missions aboard the space station. The team combined gene, protein, and chemical-tag data from two leg muscles with measures of how well those muscles reabsorbed calcium.
They used a machine learning method chosen for openness: its models can be read as plain rules rather than black boxes. The models sorted mission conditions and predicted calcium recovery from the molecular features. Candidate signposts for the wasting process emerged from the best models. Knowing which molecules move first could help design drugs or exercise plans that keep astronauts' muscles working on long voyages.
Catalog record
| CREATOR | Kevin Li, Riya Desai, Ryan T. Scott, Joel Ricky Steele, Meera Machado, Samuel Demharter, Adrienne Hoarfrost, Jessica L. Braun, Val A. Fajardo, Lauren M. Sanders, Sylvain V. Costes |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |