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Author Details

Andrew E Teschendorff
UCL Cancer Institute, University College London
2005
156
69
Trey Ideker (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
36929072Cell-Type Deconvolution of Bulk DNA Methylation Data with EpiSCORE.Methods Mol Biol2023
37525279A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes.Genome Med2023
37277399Cell-attribute aware community detection improves differential abundance testing from single-cell RNA-Seq data.Nat Commun2023
34254878A comparison of epithelial cell content of oral samples estimated using cytology and DNA methylation.Epigenetics2022
35643191dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms.Genomics Proteomics Bioinformatics2022
35536873Computational Identification of Preneoplastic Cells Displaying High Stemness and Risk of Cancer Progression.Cancer Res2022
35501397Making sense of the ageing methylome.Nat Rev Genet2022
37118452Inference of age-associated transcription factor regulatory activity changes in single cells.Nat Aging2022
36578319Distance covariance entropy reveals primed states and bifurcation dynamics in single-cell RNA-Seq data.iScience2022
36533073Insights into the role of long non-coding RNAs in DNA methylation mediated transcriptional regulation.Front Mol Biosci2022
35227298Cell-type heterogeneity: Why we should adjust for it in epigenome and biomarker studies.Clin Epigenetics2022
35277705A pan-tissue DNA methylation atlas enables in silico decomposition of human tissue methylomes at cell-type resolution.Nat Methods2022
34996498Integrative analysis of 3604 GWAS reveals multiple novel cell type-specific regulatory associations.Genome Biol2022
35164838Novel epigenetic network biomarkers for early detection of esophageal cancer.Clin Epigenetics2022
33244588Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data.Bioinformatics2021
33875884Statistical mechanics meets single-cell biology.Nat Rev Genet2021
34044218Pan-cancer characterization of long non-coding RNA and DNA methylation mediated transcriptional dysregulation.EBioMedicine2021
30289442Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measures.Brief Bioinform2020
31960375Detection of Epigenetic Field Defects Using a Weighted Epigenetic Distance-Based Method.Methods Mol Biol2020
33083012Improved detection of tumor suppressor events in single-cell RNA-Seq data.NPJ Genom Med2020
32580750A comparison of epigenetic mitotic-like clocks for cancer risk prediction.Genome Med2020
32883324EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data.Genome Biol2020
32963246A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes.Nat Commun2020
30304472Detection of epigenetic field defects using a weighted epigenetic distance-based method.Nucleic Acids Res2019
31767039DNA methylation aging clocks: challenges and recommendations.Genome Biol2019
31710662EpiDISH web server: Epigenetic Dissection of Intra-Sample-Heterogeneity with online GUI.Bioinformatics2019
29912290Accounting for differential variability in detecting differentially methylated regions.Brief Bioinform2019
31549173Appraising the causal relevance of DNA methylation for risk of lung cancer.Int J Epidemiol2019
31428694Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.Commun Biol2019
30715212ebGSEA: an improved Gene Set Enrichment Analysis method for Epigenome-Wide-Association Studies.Bioinformatics2019
30758824Estimating Differentiation Potency of Single Cells Using Single-Cell Entropy (SCENT).Methods Mol Biol2019
31161210eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data.Bioinformatics2019
30478452Avoiding common pitfalls in machine learning omic data science.Nat Mater2019
28836271Roadmap for investigating epigenome deregulation and environmental origins of cancer.Int J Cancer2018
30130743Epigenetic clocks galore: a new improved clock predicts age-acceleration in Hutchinson Gilford Progeria Syndrome patients.Aging (Albany NY)2018
29884221Tensorial blind source separation for improved analysis of multi-omic data.Genome Biol2018
30482885Cell and tissue type independent age-associated DNA methylation changes are not rare but common.Aging (Albany NY)2018
30504870Identification of differentially methylated cell types in epigenome-wide association studies.Nat Methods2018
29693419A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervix.Epigenomics2018
29485132Epigenome-based cancer risk prediction: rationale, opportunities and challenges.Nat Rev Clin Oncol2018
29735413DNA Methylation Patterns in Normal Tissue Correlate more Strongly with Breast Cancer Status than Copy-Number Variants.EBioMedicine2018
29365106Psychosocial adversity and socioeconomic position during childhood and epigenetic age: analysis of two prospective cohort studies.Hum Mol Genet2018
29129922Statistical and integrative system-level analysis of DNA methylation data.Nat Rev Genet2018
29028927Tumor origin detection with tissue-specific miRNA and DNA methylation markers.Bioinformatics2018
28002811Aberrant regulation of RANKL/OPG in women at high risk of developing breast cancer.Oncotarget2017
28193155A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.BMC Bioinformatics2017
28245219Correcting for cell-type heterogeneity in epigenome-wide association studies: revisiting previous analyses.Nat Methods2017
28444195DNA methylome analysis reveals distinct epigenetic patterns of ascending aortic dissection and bicuspid aortic valve.Cardiovasc Res2017
28961746ChAMP: updated methylation analysis pipeline for Illumina BeadChips.Bioinformatics2017
29268796The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer.Genome Med2017
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Collaborators

European Translational Oncology Prevention and Screening (EUTOPS) Institute
Co-authored papers 38
UCL Cancer Institute, University College London
Co-authored papers 38
Cancer Research UK Cambridge Institute, University of Cambridge
Co-authored papers 32
The Blizard Institute, Queen Mary University of London
Co-authored papers 9
CRUK Cambridge Institute, University of Cambridge
Co-authored papers 8
University of Bristol
Co-authored papers 5
Center for Cancer Genetic Epidemiology, University of Cambridge
Co-authored papers 5
William Harvey Research Institute, Queen Mary University of London
Co-authored papers 5
College of Nursing, University of South Florida
Co-authored papers 5
Co-authored papers 5
Co-authored papers 5
Center for Integrated Oncology Aachen Bonn Cologne Dusseldorf (CIO ABCD)
Co-authored papers 4
University of British Columbia
Co-authored papers 4
David Geffen School of Medicine, University of California los angeles
Co-authored papers 4
Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University
Co-authored papers 4
King Abdullah University of Science and Technology (KAUST)
Co-authored papers 3
UCL EGA Institute for Women's Health, University College London
Co-authored papers 3
European Bioinformatics Institute (EMBL-EBI)
Co-authored papers 3
The Blizard Institute Queen Mary University of London London UK.
Co-authored papers 3
Co-authored papers 3
King Abdullah University of Science and Technology
Co-authored papers 3
University College London, UCL Cancer Institute
Co-authored papers 3
University of Cambridge
Co-authored papers 3
Spanish National Cancer Research Centre (CNIO)
Co-authored papers 3
Otto-Friedrich-University Bamberg
Co-authored papers 3
Irving Institute for Cancer Dynamics, Columbia University
Co-authored papers 3
Center for Omics Sciences, IRCCS San Raffaele Scientific Institute
Co-authored papers 2
Co-authored papers 2
Altius Institute for Biomedical Sciences
Co-authored papers 2
Co-authored papers 2