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Enhancing the performance and interpretability of epigenetic clocks
Tushar Patel
, Robert Schwarz
, Konstantin Riege
, Miri Varshavsky
, Anne Richmond
, Riccardo E. Marioni
, Hans A. Kestler
,
Tommy Kaplan
, Steve Hoffmann
*
, Alena van Bömmel
*
*
Corresponding author for this work
The Rachel and Selim Benin School of Engineering and Computer Science
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Keyphrases
Epigenetic Clock
100%
Aging Process
40%
Transcription Factor Binding Sites
40%
DNA Methylation (DNAm)
40%
Interleukin-1β
20%
Transcription Factor
20%
Aging
20%
Regulatory Potential
20%
Gene Regulation
20%
Predictive Power
20%
Chronological Age
20%
Fatty Acid Metabolism
20%
Demethylation
20%
Methylation Changes
20%
Transcription Factor Binding
20%
Age-related Changes
20%
Binding Activity
20%
NFE2L2
20%
TF Binding
20%
Clock Model
20%
Feature Engineering
20%
Binding Dynamics
20%
Competitive Prediction
20%
Biological Underpinnings
20%
CEBPA
20%
Mechanistic Insights
20%
Age-associated
20%
NR2C2
20%
Neuroscience
Transcription Factors
100%
Binding Site
50%
DNA Methylation
50%
Methylation
50%
Interleukin 1
25%
Metabolic Pathway
25%
Gene Control
25%
Fatty Acids
25%
Binding Affinity
25%
CCAAT Enhancer Binding Protein Beta
25%
IKZF1
25%
RELA
25%
Biochemistry, Genetics and Molecular Biology
Transcription Factors
100%
Binding Site
50%
DNA Methylation
50%
Methylation
50%
Binding Affinity
25%
Gene Control
25%
Interleukin-1
25%
Fatty Acid Metabolism
25%
CCAAT Enhancer Binding Protein Beta
25%
RELA
25%
IKZF1
25%