2019
DOI: 10.1101/681197
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Abstract: Ageing affects a wide range of phenotypes at all scales, but an objective measure of ageing remains challenging, even in simple model organisms. We assumed that a wide range of phenotypes at the organismal scale rather than a limited number of biomarkers of ageing would best describe the ageing process. Hundreds of morphological, postural and behavioural features are extracted at once from high resolutions videos. A quantitative model using this multiparametric dataset can predict the biological age and lifesp… Show more

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Cited by 2 publications
(3 citation statements)
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References 17 publications
(38 reference statements)
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“…[51][52][53][54][55] to a regression, which allows the computation of the predicted age and developed a transcriptional aging clock based on whole-blood microarray samples for half of the human genome and reported an r 2 of up to 0.6, an average controlled homogenous environments have surprisingly diverse lifespans, however, the underlying causes are still not completely understood 88 . Several predictive biomarkers of C. elegans aging have been described [89][90][91][92] and the measurements of physiological processes, such as movement, pharyngeal pumping and reproduction have been used to predict lifespan 93 and the age with an RMSE of 1.7 days 94 .…”
Section: Transcriptomics Clocksmentioning
confidence: 99%
See 1 more Smart Citation
“…[51][52][53][54][55] to a regression, which allows the computation of the predicted age and developed a transcriptional aging clock based on whole-blood microarray samples for half of the human genome and reported an r 2 of up to 0.6, an average controlled homogenous environments have surprisingly diverse lifespans, however, the underlying causes are still not completely understood 88 . Several predictive biomarkers of C. elegans aging have been described [89][90][91][92] and the measurements of physiological processes, such as movement, pharyngeal pumping and reproduction have been used to predict lifespan 93 and the age with an RMSE of 1.7 days 94 .…”
Section: Transcriptomics Clocksmentioning
confidence: 99%
“…Even isogenic nematodes in precisely controlled homogenous environments have surprisingly diverse lifespans, however, the underlying causes are still not completely understood 88 . Several predictive biomarkers of C. elegans aging have been described 89–92 and the measurements of physiological processes, such as movement, pharyngeal pumping and reproduction have been used to predict lifespan 93 and the age with an RMSE of 1.7 days 94 . A first transcriptomic clock of C. elegans aging using microarray data of 104 single wildtype worms predicted the chronological age with 71% accuracy 95 .…”
Section: Introductionmentioning
confidence: 99%
“…Stroustrup et al designed a set of lifespan machines to judge and predict the lifespan of C. elegans by detecting the movement status and movement ability of C. elegans and achieved better results [ 14 ]. Martineau et al extracted hundreds of morphological, postural, and behavioral features from C. elegans activity videos and used support vector machines (SVM) to analyze their direct relationship with C. elegans lifespan [ 15 ]. Lin et al presented quantitative methods to measure the physiological age of C. elegans with convolution neural networks (CNNs), which measured ages with a granularity of days and achieved a mean absolute error (MAE) of less than 1 day [ 11 ].…”
Section: Introductionmentioning
confidence: 99%