Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals

Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals

One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum lifespan (MLS) are yet to be fully understood. An...

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Bibliographic Details
Main Authors: Anton Y. Kulaga, Eugen Ursu, Dmitri Toren, Vladyslava Tyshchenko, Rodrigo Guinea, Malvina Pushkova, Vadim E. Fraifeld, Robi Tacutu
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:International Journal of Molecular Sciences
Subjects:
transcriptomics
cross-species analysis
maximum lifespan
longevity
mammals
Online Access:https://www.mdpi.com/1422-0067/22/3/1073

Internet

https://www.mdpi.com/1422-0067/22/3/1073

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