Genetic and environmental influences interact with age and sex in shaping the human methylome
10.1038/ncomms11115 · doi-reference
10.1093/nar/gkaa1000
10.1093/nar/gkaa1000 · doi-reference
10.1038/s41587-021-01108-x
10.1038/s41587-021-01108-x · doi-reference
Longitudinal DNA methylation dynamics as a practical indicator in clinical epigenetics
10.1186/s13148-021-01202-6 · doi-reference
Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification
10.1093/jamia/ocx032 · doi-reference
Deep learning-based prediction of Alzheimer’s disease using microarray gene expression data
10.3390/biomedicines11123304 · doi-reference
Deep learning algorithms for diagnosis of lung cancer: a systematic review and meta-analysis
10.3390/cancers14163856 · doi-reference
Deep learning for the diagnosis of esophageal cancer in endoscopic images: a systematic review and meta-analysis
10.3390/cancers14235996 · doi-reference
Artificial intelligence-driven diagnosis of pancreatic cancer
10.3390/cancers14215382 · doi-reference
Machine-learning methods in detecting breast cancer and related therapeutic issues: a review
10.1080/21681163.2023.2299093 · doi-reference
Comparison of classification success rates of different machine learning algorithms in the diagnosis of breast cancer
10.31557/apjcp.2022.23.10.3287 · doi-reference
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
10.1007/s44163-023-00049-5 · doi-reference
Methods to Analyze Time-to-Event Data: The Cox Regression Analysis
10.1155/2021/1302811 · doi-reference
Multivariable logistic and linear regression models for identification of clinically useful biomarkers for osteoarthritis
10.1038/s41598-020-68077-0 · doi-reference
Evaluation of pre-processing on the meta-analysis of DNA methylation data from the Illumina HumanMethylation450 BeadChip platform
10.1371/journal.pone.0229763 · doi-reference
MethSurv: A web tool to perform multivariable survival analysis using DNA methylation data
10.2217/epi-2017-0118 · doi-reference
Wanderer, an interactive viewer to explore DNA methylation and gene expression data in human cancer
10.1186/s13072-015-0014-8 · doi-reference
An overview of ensembl
10.1101/gr.1860604 · doi-reference
10.1093/nar/gkab959
10.1093/nar/gkab959 · doi-reference
The developmental regulator PKL is required to maintain correct DNA methylation patterns at RNA-directed DNA methylation loci
10.1186/s13059-017-1226-y · doi-reference
Consistent inverse correlation between DNA methylation of the first intron and gene expression across tissues and species
10.1186/s13072-018-0205-1 · doi-reference
Genome-wide analysis of DNA Methylation profiles on sheep ovaries associated with prolificacy using whole-genome Bisulfite sequencing
10.1186/s12864-017-4068-9 · doi-reference
10.4161/epi.6.1.13391
10.4161/epi.6.1.13391 · doi-reference
Aberrant DOCK2, GRASP, HIF3A and PKFP hypermethylation has potential as a prognostic biomarker for prostate cancer
10.3390/ijms20051173 · doi-reference
Genome-wide blood DNA methylation alterations at regulatory elements and heterochromatic regions in monozygotic twins discordant for obesity and liver fat
10.1186/s13148-015-0073-5 · doi-reference
Genome-wide DNA methylation profiling in human breast tissue by Illumina TruSeq methyl capture EPIC sequencing and infinium methylationEPIC beadchip microarray
10.1080/15592294.2020.1827703 · doi-reference
Low-level processing of Illumina Infinium DNA Methylation BeadArrays
10.1093/nar/gkt090 · doi-reference
Circulating cell-free DNA-based epigenetic assay can detect early breast cancer
10.1186/s13058-016-0788-z · doi-reference
EbGSEA: an improved gene set enrichment analysis method for epigenome-wide-association studies
10.1093/bioinformatics/btz073 · doi-reference
10.1073/pnas.0506580102
10.1073/pnas.0506580102 · doi-reference
10.1093/bioinformatics/btv560
10.1093/bioinformatics/btv560 · doi-reference
10.1093/bioinformatics/bty892
10.1093/bioinformatics/bty892 · doi-reference
10.18637/jss.v036.i11
10.18637/jss.v036.i11 · doi-reference
Identification of whole-blood DNA methylation signatures and rules associated with COVID-19 severity
10.31083/j.fbl2811284 · doi-reference
Identifying anal and cervical tumorigenesis-associated methylation signaling with machine learning methods
10.3389/fonc.2022.998032 · doi-reference
Predicting high blood pressure using DNA methylome-based machine learning models
10.3390/biomedicines10061406 · doi-reference
Tumor DNA methylation profiles enable diagnosis, prognosis prediction, and screening for cervical cancer
10.2147/ijgm.s352373 · doi-reference
Application of deep learning in cancer epigenetics through DNA methylation analysis
10.1093/bib/bbad411 · doi-reference
Machine learning-based genome-wide salivary DNA methylation analysis for identification of noninvasive biomarkers in oral cancer diagnosis
10.3390/cancers14194935 · doi-reference
MBMethPred: a computational framework for the accurate classification of childhood medulloblastoma subgroups using data integration and AI-based approaches
10.3389/fgene.2023.1233657 · doi-reference
