Charlotte Soneson
Charlotte Soneson
Research Associate, FMI, Basel
Verified email at - Homepage
Cited by
Cited by
The consensus molecular subtypes of colorectal cancer
J Guinney, R Dienstmann, X Wang, A De Reynies, A Schlicker, ...
Nature medicine 21 (11), 1350-1356, 2015
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
C Soneson, MI Love, MD Robinson
F1000Research 4, 2015
A comparison of methods for differential expression analysis of RNA-seq data
C Soneson, M Delorenzi
BMC bioinformatics 14 (1), 1-18, 2013
Distal and proximal colon cancers differ in terms of molecular, pathological, and clinical features
E Missiaglia, B Jacobs, G D'ario, AF Di Narzo, C Soneson, E Budinska, ...
Annals of oncology 25 (10), 1995-2001, 2014
Bias, robustness and scalability in single-cell differential expression analysis
C Soneson, MD Robinson
Nature methods 15 (4), 255-261, 2018
Orchestrating single-cell analysis with Bioconductor
RA Amezquita, ATL Lun, E Becht, VJ Carey, LN Carpp, L Geistlinger, ...
Nature methods 17 (2), 137-145, 2020
A systematic performance evaluation of clustering methods for single-cell RNA-seq data
A Du˛, MD Robinson, C Soneson
F1000Research 7, 1141, 2020
Serum neurofilament light chain in early relapsing remitting MS is increased and correlates with CSF levels and with MRI measures of disease severity
J Kuhle, C Barro, G Disanto, A Mathias, C Soneson, G Bonnier, Í Yaldizli, ...
Multiple Sclerosis Journal 22 (12), 1550-1559, 2016
Long-lasting stem cell–like memory CD8+ T cells with a na´ve-like profile upon yellow fever vaccination
SA Fuertes Marraco, C Soneson, L Cagnon, PO Gannon, M Allard, ...
Science translational medicine 7 (282), 282ra48-282ra48, 2015
Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications
K Van den Berge, F Perraudeau, C Soneson, MI Love, D Risso, JP Vert, ...
Genome biology 19, 1-17, 2018
A comprehensive examination of Nanopore native RNA sequencing for characterization of complex transcriptomes
C Soneson, Y Yao, A Bratus-Neuenschwander, A Patrignani, ...
Nature communications 10 (1), 3359, 2019
diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering
LM Weber, M Nowicka, C Soneson, MD Robinson
Communications biology 2 (1), 183, 2019
Isoform prefiltering improves performance of count-based methods for analysis of differential transcript usage
C Soneson, KL Matthes, M Nowicka, CW Law, MD Robinson
Genome biology 17 (1), 1-15, 2016
muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data
HL Crowell, C Soneson, PL Germain, D Calini, L Collin, C Raposo, ...
Nature communications 11 (1), 6077, 2020
Tximeta: Reference sequence checksums for provenance identification in RNA-seq
MI Love, C Soneson, PF Hickey, LK Johnson, NT Pierce, L Shepherd, ...
PLoS computational biology 16 (2), e1007664, 2020
RNA sequencing data: hitchhiker's guide to expression analysis
K Van den Berge, KM Hembach, C Soneson, S Tiberi, L Clement, MI Love, ...
Annual Review of Biomedical Data Science 2, 139-173, 2019
Essential guidelines for computational method benchmarking
LM Weber, W Saelens, R Cannoodt, C Soneson, A Hapfelmeier, ...
Genome biology 20, 1-12, 2019
Early changes in the hypothalamic region in prodromal Huntington disease revealed by MRI analysis
C Soneson, M Fontes, Y Zhou, V Denisov, JS Paulsen, D Kirik, ┼ PetersÚn, ...
Neurobiology of disease 40 (3), 531-543, 2010
A glioma classification scheme based on coexpression modules of EGFR and PDGFRA
Y Sun, W Zhang, D Chen, Y Lv, J Zheng, H Lilljebj÷rn, L Ran, Z Bao, ...
Proceedings of the National Academy of Sciences 111 (9), 3538-3543, 2014
Alignment and mapping methodology influence transcript abundance estimation
A Srivastava, L Malik, H Sarkar, M Zakeri, F Almodaresi, C Soneson, ...
Genome biology 21 (1), 1-29, 2020
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