Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data.

Autor: Camila P E de Souza, Mirela Andronescu, Tehmina Masud, Farhia Kabeer, Justina Biele, Emma Laks, Daniel Lai, Patricia Ye, Jazmine Brimhall, Beixi Wang, Edmund Su, Tony Hui, Qi Cao, Marcus Wong, Michelle Moksa, Richard A Moore, Martin Hirst, Samuel Aparicio, Sohrab P Shah

Publikováno v: PLoS Computational Biology, Vol 16, Iss 9, p e1008270 (2020)

We present Epiclomal, a probabilistic clustering method arising from a hierarchical mixture model to simultaneously cluster sparse single-cell DNA methylation data and impute missing values. Using synthetic and published single-cell CpG datasets, we

Externí odkaz: https://doaj.org/article/95e95387e9fb465bb06950a35a44a9d9

Global Prediction of Candidate R-Loop Binding and R-Loop Regulatory Proteins

Autor: Edmund Su, Theodore Smith, Peter C. Stirling, Arun Kumar, Martin Hirst, Louis-Alexandre Fournier, Michelle Moksa

Publikováno v: SSRN Electronic Journal.

In the past decade there has been a growing appreciation for R-loop structures as important regulators of the epigenome, telomere maintenance, DNA repair and replication. Given these numerous functions, dozens, or potentially hundreds, of proteins co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd5297e01793b12b4220f51117744eb2
https://doi.org/10.2139/ssrn.3931637

Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data

Autor: Daniel Lai, Camila P. E. de Souza, Michelle Moksa, Edmund Su, Sohrab P. Shah, Tony Hui, Martin Hirst, Qi Cao, Beixi Wang, Patricia Ye, Samuel Aparicio, Emma Laks, Farhia Kabeer, Jazmine Brimhall, Mirela Andronescu, Tehmina Masud, Marcus Wong, Richard A. Moore, Justina Biele

Publikováno v: PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 9, p e1008270 (2020)

We present Epiclomal, a probabilistic clustering method arising from a hierarchical mixture model to simultaneously cluster sparse single-cell DNA methylation data and impute missing values. Using synthetic and published single-cell CpG datasets, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::702d2ed01e80a85e516760b256db21be
https://doi.org/10.1101/414482

Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data.

Autor: P. E. de Souza, Camila¹ (AUTHOR) camila.souza@uwo.ca, Andronescu, Mirela^2,3 (AUTHOR), Masud, Tehmina^2,3 (AUTHOR), Kabeer, Farhia^2,3 (AUTHOR), Biele, Justina² (AUTHOR), Laks, Emma^2,3,4 (AUTHOR), Lai, Daniel² (AUTHOR), Ye, Patricia⁵ (AUTHOR), Brimhall, Jazmine² (AUTHOR), Wang, Beixi² (AUTHOR), Su, Edmund⁶ (AUTHOR), Hui, Tony⁶ (AUTHOR), Cao, Qi⁶ (AUTHOR), Wong, Marcus⁶ (AUTHOR), Moksa, Michelle⁶ (AUTHOR), Moore, Richard A.⁷ (AUTHOR), Hirst, Martin⁶ (AUTHOR), Aparicio, Samuel^2,3 (AUTHOR), Shah, Sohrab P.⁸ (AUTHOR)

Publikováno v: PLoS Computational Biology. 9/23/2020, Vol. 16 Issue 9, p1-24. 24p. 2 Color Photographs, 2 Diagrams, 2 Charts, 4 Graphs.

La inevitabilidad del amor. Stanley Cavell, el rey Lear y la acedía. (Spanish)

Autor: ORTIZ LLUECA, EDUARDO

Publikováno v: Espíritu; 2021, Issue 162, p419-439, 21p