Real age prediction from the transcriptome with RAPToR-Reference-Cited by-同舟云学术

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Real age prediction from the transcriptome with RAPToR

Published:2022-07-11 Issue:8 Volume:19 Page:969-975
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Bulteau Romain^ORCID,Francesconi Mirko^ORCID

Funder

Agence Nationale de la Recherche

Université de Lyon

ENS-Lyon

PhD fellowship is funded by the french ministry of research

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

https://www.nature.com/articles/s41592-022-01540-0.pdf

Reference57 articles.

1. Francesconi, M. & Lehner, B. Reconstructing and analysing cellular states, space and time from gene expression profiles of many cells and single cells. Mol. Biosyst. 11, 2690–2698 (2015).

2. Risso, D., Ngai, J., Speed, T. P. & Dudoit, S. Normalization of RNA-seq data using factor analysis of control genes or samples. Nat. Biotechnol. 32, 896–902 (2014).

3. Leek, J. T. & Storey, J. D. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet. 3, e161 (2007).

4. Stegle, O., Parts, L., Piipari, M., Winn, J. & Durbin, R. Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses. Nat. Protoc. 7, 500–507 (2012).

5. Gómez-Orte, E. et al. Effect of the diet type and temperature on the C. elegans transcriptome. Oncotarget 9, 9556–9571 (2018).

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