Back to search

Article

A deep neural network provides an ultraprecise multi-tissue transcriptomic clock for the short-lived fish <i>Nothobranchius furzeri</i> and identifies predicitive genes translatable to human aging

2022-11-26

Abstract excerpt

A key and unresolved question in aging research is how to quantify aging at the individual level that led to development of ”aging clocks”, machine learning algorhythms trained to predict individual age from high-dimensional molecular data under the the assumption that individual deviations of the predicted age from the chronological age contain information on the individual condition (often referred to as ”biolog...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7384794e-e4b9-556f-8731-70f32160f172
DOI
10.1101/2022.11.26.517610
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A deep neural network provides an ultraprecise multi-tissue transcriptomic clock for the short-lived fish <i>Nothobranchius furzeri</i> and identifies predicitive genes translatable to human agingDOI 10.1101/2022.11.26.517610
Epigenetic clock and lifespan prediction in the short-lived killifish <i>Nothobranchius furzeri</i>Semantic proximity
Machine learning based classification of cells into chronological stages using single-cell transcriptomicsSemantic proximity
BiT age: A transcriptome-based aging clock near the theoretical limit of accuracy.Semantic proximity
A transcriptome based aging clock near the theoretical limit of accuracySemantic proximity
Neotenic transcriptomic features in the adult turquoise killifish brainSemantic proximity
ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic DataSemantic proximity
An Explainable AI Framework for Identifying Universal Aging Signatures in Cell EmbeddingsSemantic proximity
The End of Aging Clocks: Training Foundation Models to Reason in Aging and LongevitySemantic proximity
The African Turquoise Killifish: A Model for Exploring Vertebrate Aging and Diseases in the Fast Lane.Semantic proximity
Real age prediction from the transcriptome with RAPToRSemantic proximity
scAgeClock: a single-cell transcriptome based human aging clock model using gated multi-head attention neural networksSemantic proximity
Decoding the role of transcriptomic clocks in the human prefrontal cortexSemantic proximity
Select a neighboring publication to make it the new centre.