Teschendorff AE - Search Results

1

Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measures.

Shi J, Teschendorff AE, Chen W, Chen L, Li T. Shi J, et al. Among authors: teschendorff ae. Brief Bioinform. 2020 Jan 17;21(1):248-261. doi: 10.1093/bib/bby093. Brief Bioinform. 2020. PMID: 30289442

2

The dynamics of DNA methylation covariation patterns in carcinogenesis.

Teschendorff AE, Liu X, Caren H, Pollard SM, Beck S, Widschwendter M, Chen L. Teschendorff AE, et al. PLoS Comput Biol. 2014 Jul 10;10(7):e1003709. doi: 10.1371/journal.pcbi.1003709. eCollection 2014 Jul. PLoS Comput Biol. 2014. PMID: 25010556 Free PMC article.

3

Accounting for differential variability in detecting differentially methylated regions.

Wang Y, Teschendorff AE, Widschwendter M, Wang S. Wang Y, et al. Among authors: teschendorff ae. Brief Bioinform. 2019 Jan 18;20(1):47-57. doi: 10.1093/bib/bbx097. Brief Bioinform. 2019. PMID: 29912290

4

Estimating Differentiation Potency of Single Cells Using Single-Cell Entropy (SCENT).

Chen W, Teschendorff AE. Chen W, et al. Among authors: teschendorff ae. Methods Mol Biol. 2019;1935:125-139. doi: 10.1007/978-1-4939-9057-3_9. Methods Mol Biol. 2019. PMID: 30758824

5

Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.

Chen W, Morabito SJ, Kessenbrock K, Enver T, Meyer KB, Teschendorff AE. Chen W, et al. Among authors: teschendorff ae. Commun Biol. 2019 Aug 9;2:306. doi: 10.1038/s42003-019-0554-8. eCollection 2019. Commun Biol. 2019. PMID: 31428694 Free PMC article.

6

Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data.

Teschendorff AE, Maity AK, Hu X, Weiyan C, Lechner M. Teschendorff AE, et al. Bioinformatics. 2021 Jul 12;37(11):1528-1534. doi: 10.1093/bioinformatics/btaa987. Bioinformatics. 2021. PMID: 33244588 Free PMC article.

7

A systems-level integrative framework for genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control.

Jiao Y, Widschwendter M, Teschendorff AE. Jiao Y, et al. Among authors: teschendorff ae. Bioinformatics. 2014 Aug 15;30(16):2360-6. doi: 10.1093/bioinformatics/btu316. Epub 2014 May 2. Bioinformatics. 2014. PMID: 24794928

8

Stochastic epigenetic outliers can define field defects in cancer.

Teschendorff AE, Jones A, Widschwendter M. Teschendorff AE, et al. BMC Bioinformatics. 2016 Apr 22;17:178. doi: 10.1186/s12859-016-1056-z. BMC Bioinformatics. 2016. PMID: 27103033 Free PMC article.

9

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

Teschendorff AE, Breeze CE, Zheng SC, Beck S. Teschendorff AE, et al. BMC Bioinformatics. 2017 Feb 13;18(1):105. doi: 10.1186/s12859-017-1511-5. BMC Bioinformatics. 2017. PMID: 28193155 Free PMC article.

10

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

Teschendorff AE, Enver T. Teschendorff AE, et al. Nat Commun. 2017 Jun 1;8:15599. doi: 10.1038/ncomms15599. Nat Commun. 2017. PMID: 28569836 Free PMC article.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

170 results

Search Page

Filters