Papers: 10.7554/eLife.62585

https://doi.org/10.7554/eLife.62585

Proteomic and transcriptomic profiling reveal different aspects of aging in the kidney

Cited by: 52
Author(s): Yuka Takemon, Joel M. Chick, Isabela Gerdes Gyuricza, Daniel A. Skelly, Olivier Devuyst, Steven P. Gygi, Gary A. Churchill, Ron Korstanje
Published: over 5 years ago

Software Mentions 1

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)