An Evaluation of Methods Correcting for Cell Type Heterogeneity in DNA Methylation Studies

doi 10.1101/032185
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Cold Spring Harbor Laboratory

Related search

Correcting for Cell-Type Effects in DNA Methylation Studies: Reference-Based Method Outperforms Latent Variable Approaches in Empirical Studies

Genome Biology
2017English

A Comparison of Reference-Based Algorithms for Correcting Cell-Type Heterogeneity in Epigenome-Wide Association Studies

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2017English

An Evaluation of Statistical Methods for DNA Methylation Microarray Data Analysis

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2015English

An Analysis About Heterogeneity Among Cancers Based on the DNA Methylation Patterns

BMC Cancer
Cancer ResearchOncologyGenetics
2019English

BayesCCE: A Bayesian Framework for Estimating Cell-Type Composition From DNA Methylation Without the Need for Methylation Reference

Genome Biology
2018English

Intratumor Heterogeneity Index of Breast Carcinomas Based on DNA Methylation Profiles

BMC Cancer
Cancer ResearchOncologyGenetics
2019English

DNA Methylation Analysis From Saliva Samples for Epidemiological Studies

Epigenetics
Cancer ResearchMedicineMolecular Biology
2018English

DNA Methylation 101: What Is Important to Know About DNA Methylation and Its Role in SLE Risk and Disease Heterogeneity

Lupus Science and Medicine
MedicineImmunology
2018English

Comprehensive Human Cell-Type Methylation Atlas Reveals Origins of Circulating Cell-Free DNA in Health and Disease

Nature Communications
AstronomyGeneticsMolecular BiologyBiochemistryChemistryPhysics
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy