Marioni JC - Search Results

1

Differential abundance testing on single-cell data using k-nearest neighbor graphs.

Dann E, Henderson NC, Teichmann SA, Morgan MD, Marioni JC. Dann E, et al. Among authors: marioni jc. Nat Biotechnol. 2022 Feb;40(2):245-253. doi: 10.1038/s41587-021-01033-z. Epub 2021 Sep 30. Nat Biotechnol. 2022. PMID: 34594043 Free PMC article.

2

Accounting for technical noise in single-cell RNA-seq experiments.

Brennecke P, Anders S, Kim JK, Kołodziejczyk AA, Zhang X, Proserpio V, Baying B, Benes V, Teichmann SA, Marioni JC, Heisler MG. Brennecke P, et al. Among authors: marioni jc. Nat Methods. 2013 Nov;10(11):1093-5. doi: 10.1038/nmeth.2645. Epub 2013 Sep 22. Nat Methods. 2013. PMID: 24056876

3

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.

Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, Teichmann SA, Marioni JC, Stegle O. Buettner F, et al. Among authors: marioni jc. Nat Biotechnol. 2015 Feb;33(2):155-60. doi: 10.1038/nbt.3102. Epub 2015 Jan 19. Nat Biotechnol. 2015. PMID: 25599176

4

Computational and analytical challenges in single-cell transcriptomics.

Stegle O, Teichmann SA, Marioni JC. Stegle O, et al. Among authors: marioni jc. Nat Rev Genet. 2015 Mar;16(3):133-45. doi: 10.1038/nrg3833. Epub 2015 Jan 28. Nat Rev Genet. 2015. PMID: 25628217 Review.

5

High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin.

Achim K, Pettit JB, Saraiva LR, Gavriouchkina D, Larsson T, Arendt D, Marioni JC. Achim K, et al. Among authors: marioni jc. Nat Biotechnol. 2015 May;33(5):503-9. doi: 10.1038/nbt.3209. Epub 2015 Apr 13. Nat Biotechnol. 2015. PMID: 25867922

6

The technology and biology of single-cell RNA sequencing.

Kolodziejczyk AA, Kim JK, Svensson V, Marioni JC, Teichmann SA. Kolodziejczyk AA, et al. Among authors: marioni jc. Mol Cell. 2015 May 21;58(4):610-20. doi: 10.1016/j.molcel.2015.04.005. Mol Cell. 2015. PMID: 26000846 Free article. Review.

7

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data.

Vallejos CA, Marioni JC, Richardson S. Vallejos CA, et al. Among authors: marioni jc. PLoS Comput Biol. 2015 Jun 24;11(6):e1004333. doi: 10.1371/journal.pcbi.1004333. eCollection 2015 Jun. PLoS Comput Biol. 2015. PMID: 26107944 Free PMC article.

8

Computational assignment of cell-cycle stage from single-cell transcriptome data.

Scialdone A, Natarajan KN, Saraiva LR, Proserpio V, Teichmann SA, Stegle O, Marioni JC, Buettner F. Scialdone A, et al. Among authors: marioni jc. Methods. 2015 Sep 1;85:54-61. doi: 10.1016/j.ymeth.2015.06.021. Epub 2015 Jul 2. Methods. 2015. PMID: 26142758 Free article.

9

Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation.

Kolodziejczyk AA, Kim JK, Tsang JC, Ilicic T, Henriksson J, Natarajan KN, Tuck AC, Gao X, Bühler M, Liu P, Marioni JC, Teichmann SA. Kolodziejczyk AA, et al. Among authors: marioni jc. Cell Stem Cell. 2015 Oct 1;17(4):471-85. doi: 10.1016/j.stem.2015.09.011. Cell Stem Cell. 2015. PMID: 26431182 Free PMC article.

10

Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression.

Kim JK, Kolodziejczyk AA, Ilicic T, Teichmann SA, Marioni JC. Kim JK, et al. Among authors: marioni jc. Nat Commun. 2015 Oct 22;6:8687. doi: 10.1038/ncomms9687. Nat Commun. 2015. PMID: 26489834 Free PMC article.

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