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Testing for batch effect through age predictors

https://doi.org/10.1101/531863
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10278-017-9955-8openalex-snapshot
Fully Automated Deep Learning System for Bone Age Assessment
inferredcites →https://doi.org/10.1007/s10479-011-0841-3openalex-snapshot
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
inferredcites →https://doi.org/10.1016/j.gene.2017.05.045openalex-snapshot
New genes for accurate normalization of qRT-PCR results in study of iPS and iPS-derived cells
inferredcites →https://doi.org/10.1016/j.isci.2020.101199openalex-snapshot
Human Gut Microbiome Aging Clock Based on Taxonomic Profiling and Deep Learning
inferredcites →https://doi.org/10.1016/j.neuroimage.2017.07.059openalex-snapshot
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
inferredcites →https://doi.org/10.1038/ncomms9570openalex-snapshot
The transcriptional landscape of age in human peripheral blood
inferredcites →https://doi.org/10.1038/s41598-018-35704-wopenalex-snapshot
Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers
inferredcites →https://doi.org/10.1080/00031305.1994.10476030openalex-snapshot
The Three Sigma Rule
inferredcites →https://doi.org/10.1089/cmb.2015.0189openalex-snapshot
Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters
inferredcites →https://doi.org/10.1093/bioinformatics/19.2.185openalex-snapshot
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
inferredcites →https://doi.org/10.1093/bioinformatics/btn083openalex-snapshot
Merging two gene-expression studies via cross-platform normalization
inferredcites →https://doi.org/10.1093/gerona/gly005openalex-snapshot
Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations
inferredcites →https://doi.org/10.1186/1471-2105-12-467openalex-snapshot
Empirical comparison of cross-platform normalization methods for gene expression data
inferredcites →https://doi.org/10.1186/1471-2105-5-81openalex-snapshot
Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes
inferredcites →https://doi.org/10.18632/aging.100717openalex-snapshot
Signaling pathway activation drift during aging: Hutchinson-Gilford Progeria Syndrome fibroblasts are comparable to normal middle-age and old-age cells
inferredcites →https://doi.org/10.18632/aging.100866openalex-snapshot
DNA repair in species with extreme lifespan differences
inferredcites →https://doi.org/10.18632/aging.100968openalex-snapshot
Deep biomarkers of human aging: Application of deep neural networks to biomarker development
inferredcites →https://doi.org/10.18632/aging.101629openalex-snapshot
PhotoAgeClock: deep learning algorithms for development of non-invasive visual biomarkers of aging
inferredcites →https://doi.org/10.3389/fgene.2018.00242openalex-snapshot
Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification
inferredcites →https://doi.org/10.48550/arxiv.1511.07289openalex-snapshot
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.csbj.2022.10.021openalex-snapshot
Scale bar of aging trajectories for screening personal rejuvenation treatments
inferred← citeshttps://doi.org/10.1016/j.mad.2019.111192openalex-snapshot
Multi-omics approaches to human biological age estimation
inferred← citeshttps://doi.org/10.18632/aging.102475openalex-snapshot
Deep biomarkers of aging and longevity: from research to applications
inferred← citeshttps://doi.org/10.18632/aging.103880openalex-snapshot
Psychological aging, depression, and well-being
inferred← citeshttps://doi.org/10.3390/biom12010039openalex-snapshot
Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets
inferred← citeshttps://doi.org/10.64898/2026.01.12.698650openalex-snapshot
LongevityBench: Are SotA LLMs ready for aging research?
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