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Items: 1 to 20 of 108

1.

Epigenetic clocks galore: a new improved clock predicts age-acceleration in Hutchinson Gilford Progeria Syndrome patients.

Teschendorff AE.

Aging (Albany NY). 2018 Aug 21;10(8):1799-1800. doi: 10.18632/aging.101533. No abstract available.

2.

Accounting for differential variability in detecting differentially methylated regions.

Wang Y, Teschendorff AE, Widschwendter M, Wang S.

Brief Bioinform. 2017 Aug 18. doi: 10.1093/bib/bbx097. [Epub ahead of print]

PMID:
29912290
3.

Tensorial blind source separation for improved analysis of multi-omic data.

Teschendorff AE, Jing H, Paul DS, Virta J, Nordhausen K.

Genome Biol. 2018 Jun 8;19(1):76. doi: 10.1186/s13059-018-1455-8.

4.

DNA Methylation Patterns in Normal Tissue Correlate more Strongly with Breast Cancer Status than Copy-Number Variants.

Gao Y, Widschwendter M, Teschendorff AE.

EBioMedicine. 2018 May;31:243-252. doi: 10.1016/j.ebiom.2018.04.025. Epub 2018 May 4.

5.

A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervix.

Zheng SC, Webster AP, Dong D, Feber A, Graham DG, Sullivan R, Jevons S, Lovat LB, Beck S, Widschwendter M, Teschendorff AE.

Epigenomics. 2018 Jul;10(7):925-940. doi: 10.2217/epi-2018-0037. Epub 2018 Apr 25.

6.

Epigenome-based cancer risk prediction: rationale, opportunities and challenges.

Widschwendter M, Jones A, Evans I, Reisel D, Dillner J, Sundström K, Steyerberg EW, Vergouwe Y, Wegwarth O, Rebitschek FG, Siebert U, Sroczynski G, de Beaufort ID, Bolt I, Cibula D, Zikan M, Bjørge L, Colombo N, Harbeck N, Dudbridge F, Tasse AM, Knoppers BM, Joly Y, Teschendorff AE, Pashayan N; FORECEE (4C) Consortium.

Nat Rev Clin Oncol. 2018 May;15(5):292-309. doi: 10.1038/nrclinonc.2018.30. Epub 2018 Feb 27. Review.

PMID:
29485132
7.

Psychosocial adversity and socioeconomic position during childhood and epigenetic age: analysis of two prospective cohort studies.

Lawn RB, Anderson EL, Suderman M, Simpkin AJ, Gaunt TR, Teschendorff AE, Widschwendter M, Hardy R, Kuh D, Relton CL, Howe LD.

Hum Mol Genet. 2018 Apr 1;27(7):1301-1308. doi: 10.1093/hmg/ddy036.

8.

The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer.

Widschwendter M, Zikan M, Wahl B, Lempiäinen H, Paprotka T, Evans I, Jones A, Ghazali S, Reisel D, Eichner J, Rujan T, Yang Z, Teschendorff AE, Ryan A, Cibula D, Menon U, Wittenberger T.

Genome Med. 2017 Dec 22;9(1):116. doi: 10.1186/s13073-017-0500-7.

9.
10.

Statistical and integrative system-level analysis of DNA methylation data.

Teschendorff AE, Relton CL.

Nat Rev Genet. 2018 Mar;19(3):129-147. doi: 10.1038/nrg.2017.86. Epub 2017 Nov 13. Review.

PMID:
29129922
11.

Tumor origin detection with tissue-specific miRNA and DNA methylation markers.

Tang W, Wan S, Yang Z, Teschendorff AE, Zou Q.

Bioinformatics. 2018 Feb 1;34(3):398-406. doi: 10.1093/bioinformatics/btx622.

PMID:
29028927
12.

ChAMP: updated methylation analysis pipeline for Illumina BeadChips.

Tian Y, Morris TJ, Webster AP, Yang Z, Beck S, Feber A, Teschendorff AE.

Bioinformatics. 2017 Dec 15;33(24):3982-3984. doi: 10.1093/bioinformatics/btx513.

13.

Roadmap for investigating epigenome deregulation and environmental origins of cancer.

Herceg Z, Ghantous A, Wild CP, Sklias A, Casati L, Duthie SJ, Fry R, Issa JP, Kellermayer R, Koturbash I, Kondo Y, Lepeule J, Lima SCS, Marsit CJ, Rakyan V, Saffery R, Taylor JA, Teschendorff AE, Ushijima T, Vineis P, Walker CL, Waterland RA, Wiemels J, Ambatipudi S, Degli Esposti D, Hernandez-Vargas H.

Int J Cancer. 2018 Mar 1;142(5):874-882. doi: 10.1002/ijc.31014. Epub 2017 Sep 13. Review.

14.

Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome.

Teschendorff AE, Enver T.

Nat Commun. 2017 Jun 1;8:15599. doi: 10.1038/ncomms15599.

15.

Cell-type deconvolution in epigenome-wide association studies: a review and recommendations.

Teschendorff AE, Zheng SC.

Epigenomics. 2017 May;9(5):757-768. doi: 10.2217/epi-2016-0153. Epub 2017 Mar 14. Review.

16.

DNA methylome analysis reveals distinct epigenetic patterns of ascending aortic dissection and bicuspid aortic valve.

Pan S, Lai H, Shen Y, Breeze C, Beck S, Hong T, Wang C, Teschendorff AE.

Cardiovasc Res. 2017 May 1;113(6):692-704. doi: 10.1093/cvr/cvx050.

PMID:
28444195
17.

Correcting for cell-type heterogeneity in epigenome-wide association studies: revisiting previous analyses.

Zheng SC, Beck S, Jaffe AE, Koestler DC, Hansen KD, Houseman AE, Irizarry RA, Teschendorff AE.

Nat Methods. 2017 Feb 28;14(3):216-217. doi: 10.1038/nmeth.4187. No abstract available.

PMID:
28245219
18.

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.

Teschendorff AE, Breeze CE, Zheng SC, Beck S.

BMC Bioinformatics. 2017 Feb 13;18(1):105. doi: 10.1186/s12859-017-1511-5.

19.

Epigenetic and genetic deregulation in cancer target distinct signaling pathway domains.

Gao Y, Teschendorff AE.

Nucleic Acids Res. 2017 Jan 25;45(2):583-596. doi: 10.1093/nar/gkw1100. Epub 2016 Nov 29.

20.

dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers.

Yang Z, Wu L, Wang A, Tang W, Zhao Y, Zhao H, Teschendorff AE.

Nucleic Acids Res. 2017 Jan 4;45(D1):D812-D818. doi: 10.1093/nar/gkw1079. Epub 2016 Nov 28.

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