Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)
Authors
Keywords
EWAS, DNA methylation, Cell mixture estimation, Cell heterogeneity
Journal
BMC BIOINFORMATICS
Volume 17, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-03-08
DOI
10.1186/s12859-016-0943-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci
- (2015) Ellen W. Demerath et al. HUMAN MOLECULAR GENETICS
- The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936
- (2015) Riccardo E Marioni et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- An epigenome-wide association study of total serum immunoglobulin E concentration
- (2015) Liming Liang et al. NATURE
- DNA methylation age of blood predicts all-cause mortality in later life
- (2015) Riccardo E Marioni et al. GENOME BIOLOGY
- Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays
- (2014) Martin J. Aryee et al. BIOINFORMATICS
- Reference-free cell mixture adjustments in analysis of DNA methylation data
- (2014) Eugene Andres Houseman et al. BIOINFORMATICS
- Integrative genomic analysis identifies epigenetic marks that mediate genetic risk for epithelial ovarian cancer
- (2014) Devin C Koestler et al. BMC Medical Genomics
- Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study
- (2014) J. M. Flanagan et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Characteristic DNA methylation profiles in peripheral blood monocytes are associated with inflammatory phenotypes of asthma
- (2014) Lakshitha P Gunawardhana et al. Epigenetics
- Grasping nettles: cellular heterogeneity and other confounders in epigenome-wide association studies
- (2014) L. Liang et al. HUMAN MOLECULAR GENETICS
- Epigenome-wide association studies without the need for cell-type composition
- (2014) James Zou et al. NATURE METHODS
- Age-related variations in the methylome associated with gene expression in human monocytes and T cells
- (2014) Lindsay M. Reynolds et al. Nature Communications
- Quantitative reconstruction of leukocyte subsets using DNA methylation
- (2014) William P Accomando et al. GENOME BIOLOGY
- Accounting for cellular heterogeneity is critical in epigenome-wide association studies
- (2014) Andrew E Jaffe et al. GENOME BIOLOGY
- Review of processing and analysis methods for DNA methylation array data
- (2013) C S Wilhelm-Benartzi et al. BRITISH JOURNAL OF CANCER
- Batch Effects and Pathway Analysis: Two Potential Perils in Cancer Studies Involving DNA Methylation Array Analysis
- (2013) K. N. Harper et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Differential DNA Methylation in Umbilical Cord Blood of Infants Exposed to Low Levels of Arsenic in Utero
- (2013) Devin C. Koestler et al. ENVIRONMENTAL HEALTH PERSPECTIVES
- Blood-based profiles of DNA methylation predict the underlying distribution of cell types
- (2013) Devin C Koestler et al. Epigenetics
- Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis
- (2013) Yun Liu et al. NATURE BIOTECHNOLOGY
- Recommendations for the design and analysis of epigenome-wide association studies
- (2013) Karin B Michels et al. NATURE METHODS
- The sva package for removing batch effects and other unwanted variation in high-throughput experiments
- (2012) Jeffrey T. Leek et al. BIOINFORMATICS
- DNA methylation arrays as surrogate measures of cell mixture distribution
- (2012) Eugene Houseman et al. BMC BIOINFORMATICS
- Peripheral Blood Immune Cell Methylation Profiles Are Associated with Nonhematopoietic Cancers
- (2012) D. C. Koestler et al. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
- Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates
- (2012) Gregory Hannum et al. MOLECULAR CELL
- Analysing and interpreting DNA methylation data
- (2012) Christoph Bock NATURE REVIEWS GENETICS
- Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility
- (2012) Lovisa E. Reinius et al. PLoS One
- Heterogeneity in White Blood Cells Has Potential to Confound DNA Methylation Measurements
- (2012) Bjorn T. Adalsteinsson et al. PLoS One
- Factors underlying variable DNA methylation in a human community cohort
- (2012) L. L. Lam et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
- (2012) Jovana Maksimovic et al. GENOME BIOLOGY
- Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies
- (2011) Andrew E. Teschendorff et al. BIOINFORMATICS
- Epigenome-wide association studies for common human diseases
- (2011) Vardhman K. Rakyan et al. NATURE REVIEWS GENETICS
- Assessing the Performance of Prediction Models
- (2009) Ewout W. Steyerberg et al. EPIDEMIOLOGY
- An Epigenetic Signature in Peripheral Blood Predicts Active Ovarian Cancer
- (2009) Andrew E. Teschendorff et al. PLoS One
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now