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Year | Number of Results |
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2014 | 1 |
2016 | 2 |
2017 | 2 |
2018 | 2 |
2024 | 0 |
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Page 1
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity.
Nat Methods. 2014 Aug;11(8):817-820. doi: 10.1038/nmeth.3035. Epub 2014 Jul 20.
Nat Methods. 2014.
PMID: 25042786
Free PMC article.
Deep learning for computational biology.
Angermueller C, Pärnamaa T, Parts L, Stegle O.
Angermueller C, et al.
Mol Syst Biol. 2016 Jul 29;12(7):878. doi: 10.15252/msb.20156651.
Mol Syst Biol. 2016.
PMID: 27474269
Free PMC article.
Review.
Item in Clipboard
Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity.
Angermueller C, Clark SJ, Lee HJ, Macaulay IC, Teng MJ, Hu TX, Krueger F, Smallwood S, Ponting CP, Voet T, Kelsey G, Stegle O, Reik W.
Angermueller C, et al.
Nat Methods. 2016 Mar;13(3):229-232. doi: 10.1038/nmeth.3728. Epub 2016 Jan 11.
Nat Methods. 2016.
PMID: 26752769
Free PMC article.
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Genome-Scale Oscillations in DNA Methylation during Exit from Pluripotency.
Rulands S, Lee HJ, Clark SJ, Angermueller C, Smallwood SA, Krueger F, Mohammed H, Dean W, Nichols J, Rugg-Gunn P, Kelsey G, Stegle O, Simons BD, Reik W.
Rulands S, et al. Among authors: angermueller c.
Cell Syst. 2018 Jul 25;7(1):63-76.e12. doi: 10.1016/j.cels.2018.06.012.
Cell Syst. 2018.
PMID: 30031774
Free PMC article.
Item in Clipboard
Deep Learning for Predicting Refractive Error From Retinal Fundus Images.
Varadarajan AV, Poplin R, Blumer K, Angermueller C, Ledsam J, Chopra R, Keane PA, Corrado GS, Peng L, Webster DR.
Varadarajan AV, et al. Among authors: angermueller c.
Invest Ophthalmol Vis Sci. 2018 Jun 1;59(7):2861-2868. doi: 10.1167/iovs.18-23887.
Invest Ophthalmol Vis Sci. 2018.
PMID: 30025129
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DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning.
Angermueller C, Lee HJ, Reik W, Stegle O.
Angermueller C, et al.
Genome Biol. 2017 Apr 11;18(1):67. doi: 10.1186/s13059-017-1189-z.
Genome Biol. 2017.
PMID: 28395661
Free PMC article.
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Erratum to: DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning.
Angermueller C, Lee HJ, Reik W, Stegle O.
Angermueller C, et al.
Genome Biol. 2017 May 12;18(1):90. doi: 10.1186/s13059-017-1233-z.
Genome Biol. 2017.
PMID: 28499443
Free PMC article.
No abstract available.
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