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• W4285008596 abstract "Transcriptomic data is often affected by uncontrolled variation among samples that can obscure and confound the effects of interest. This variation is frequently due to unintended differences in developmental stages between samples. The transcriptome itself can be used to estimate developmental progression, but existing methods require many samples and do not estimate a specimen’s real age. Here we present real-age prediction from transcriptome staging on reference (RAPToR), a computational method that precisely estimates the real age of a sample from its transcriptome, exploiting existing time-series data as reference. RAPToR works with whole animal, dissected tissue and single-cell data for the most common animal models, humans and even for non-model organisms lacking reference data. We show that RAPToR can be used to remove age as a confounding factor and allow recovery of a signal of interest in differential expression analysis. RAPToR will be especially useful in large-scale single-organism profiling because it eliminates the need for accurate staging or synchronisation before profiling. Real age prediction from transcriptome staging on reference (RAPToR) precisely estimates the real age of a specimen on the basis of transcriptomic data. RAPToR is broadly applicable and can be used to remove age as a confounding variable." @default.
• W4285008596 created "2022-07-12" @default.
• W4285008596 creator A5002110510 @default.
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• W4285008596 date "2022-07-11" @default.
• W4285008596 modified "2023-09-30" @default.
• W4285008596 title "Real age prediction from the transcriptome with RAPToR" @default.
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• W4285008596 doi "https://doi.org/10.1038/s41592-022-01540-0" @default.
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