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Charlotte Soneson
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2020 – today
- 2024
- [i6]Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva, Robert Castelo, Aedín C. Culhane, Sean Davis, Maria A. Doyle, Susan Holmes, Leo Lahti, Alexandru Mahmoud, Kozo Nishida, Marcel Ramos, Kevin C. Rue-Albrecht, David J. H. Shih, Laurent Gatto, Charlotte Soneson:
Learning and teaching biological data science in the Bioconductor community. CoRR abs/2410.01351 (2024) - 2023
- [j10]Charlotte Soneson
, Vytautas Iesmantavicius
einprot: flexible, easy-to-use, reproducible workflows for statistical analysis of quantitative proteomics data. J. Open Source Softw. 8(90): 5750 (2023) - 2021
- [j9]Charlotte Soneson
Preprocessing choices affect RNA velocity results for droplet scRNA-seq data. PLoS Comput. Biol. 17(1) (2021) - 2020
- [j8]Michael I. Love
Tximeta: Reference sequence checksums for provenance identification in RNA-seq. PLoS Comput. Biol. 16(2) (2020) - [i5]Ruizhu Huang
TreeSummarizedExperiment: a S4 class for data with hierarchical structure. F1000Research 9: 1246 (2020)
2010 – 2019
- 2019
- [i4]Lukas M. Weber
HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats. F1000Research 8: 1459 (2019) - 2018
- [j7]Charlotte Soneson, Mark D. Robinson
Towards unified quality verification of synthetic count data with countsimQC. Bioinform. 34(4): 691-692 (2018) - [i3]Kevin C. Rue-Albrecht
iSEE: Interactive SummarizedExperiment Explorer. F1000Research 7: 741 (2018) - [i2]Michael I. Love
Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification. F1000Research 7: 952 (2018) - [i1]Angelo Duò
A systematic performance evaluation of clustering methods for single-cell RNA-seq data. F1000Research 7: 1141 (2018) - 2015
- [j6]Kerstin Johnsson
Low Bias Local Intrinsic Dimension Estimation from Expected Simplex Skewness. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 196-202 (2015) - 2014
- [j5]Charlotte Soneson
compcodeR - an R package for benchmarking differential expression methods for RNA-seq data. Bioinform. 30(17): 2517-2518 (2014) - [j4]Charlotte Soneson, Magnus Fontes:
Incorporation of gene exchangeabilities improves the reproducibility of gene set rankings. Comput. Stat. Data Anal. 71: 588-598 (2014) - 2013
- [j3]Charlotte Soneson
A comparison of methods for differential expression analysis of RNA-seq data. BMC Bioinform. 14: 91 (2013) - 2011
- [j2]Magnus Fontes, Charlotte Soneson
The projection score - an evaluation criterion for variable subset selection in PCA visualization. BMC Bioinform. 12: 307 (2011) - 2010
- [j1]Charlotte Soneson
Integrative analysis of gene expression and copy number alterations using canonical correlation analysis. BMC Bioinform. 11: 191 (2010)
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