Charlotte Soneson

Citat de

	Toate	Din 2020
Referințe bibliografice	18091	13441
h-index	44	36
i10-index	72	64

2900

1450

725

2175

201320142015201620172018201920202021202220232024202566 160 271 491 806 1121 1570 2019 2628 2717 2649 2892 528

Acces public

Afișați-le pe toate

60 de articole

4 articole

disponibile

indisponibile

Pe baza cerințelor privind finanțarea

Coautori

Mark D. RobinsonFull Professor of Statistical Genomics, University of ZurichAdresă de e-mail confirmată pe mls.uzh.ch
Mauro DelorenziSIB Swiss Institute of BioinformaticsAdresă de e-mail confirmată pe unil.ch
Michael I. LoveAssociate Professor, Biostatistics & Genetics, UNC-Chapel HillAdresă de e-mail confirmată pe email.unc.edu
Rob PatroAssociate Professor, Department of Computer Science, University of MarylandAdresă de e-mail confirmată pe cs.umd.edu
Magnus FontesGeneral Manager Institut Roche, Professor of Mathematics, Lund UniversityAdresă de e-mail confirmată pe roche.com
Helena L. CrowellPostdoc - CNAG, Barcelona, SpainAdresă de e-mail confirmată pe cnag.eu
Kevin RUE-ALBRECHTOxford UniversityAdresă de e-mail confirmată pe imm.ox.ac.uk
Davide RissoDepartment of Statistical Sciences, University of Padova, ItalyAdresă de e-mail confirmată pe unipd.it
Koen Van den BergeJ&J Innovative MedicineAdresă de e-mail confirmată pe berkeley.edu
Lieven ClementAssociate Professor in Statistical Genomics, Ghent UniversityAdresă de e-mail confirmată pe ugent.be
Stephanie C. HicksAssociate Professor, Johns Hopkins Bloomberg School of Public HealthAdresă de e-mail confirmată pe jhu.edu
Michael B. StadlerHead of Computational Biology, Friedrich Miescher Institute for Biomedical Research, SwitzerlandAdresă de e-mail confirmată pe fmi.ch
Federico MariniBioinformatics Group Leader@Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI)Adresă de e-mail confirmată pe uni-mainz.de
Aaron LunGenentech, Inc.Adresă de e-mail confirmată pe gene.com
Raphael GottardoLausanne University Hospital and University of LausanneAdresă de e-mail confirmată pe chuv.ch
Wolfgang HuberEMBL - European Molecular Biology LaboratoryAdresă de e-mail confirmată pe embl.org
Robert A. Amezquita, PhDSr Computational ImmunologistAdresă de e-mail confirmată pe pfizer.com
Levi WaldronCity University of New York Graduate School of Public Health and Health PolicyAdresă de e-mail confirmată pe sph.cuny.edu
Ludwig GeistlingerCenter for Computational Biomedicine, Harvard Medical SchoolAdresă de e-mail confirmată pe hms.harvard.edu
Lindsay N. CarppFred Hutchinson Cancer Research CenterAdresă de e-mail confirmată pe fredhutch.org

Urmăriți

Charlotte Soneson

Research Associate, FMI, Basel

Adresă de e-mail confirmată pe fmi.ch - Pagina de pornire


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	5089	2015
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences C Soneson, MI Love, MD Robinson F1000Research 4, 1521, 2016	4215	2016
A comparison of methods for differential expression analysis of RNA-seq data C Soneson, M Delorenzi BMC bioinformatics 14, 1-18, 2013	1150	2013
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	813	2020
Bias, robustness and scalability in single-cell differential expression analysis C Soneson, MD Robinson Nature methods 15 (4), 255-261, 2018	763	2018
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	706	2014
A systematic performance evaluation of clustering methods for single-cell RNA-seq data A Duò, MD Robinson, C Soneson F1000Research 7, 1141, 2020	382	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, Ö Yaldizli, ... Multiple Sclerosis Journal 22 (12), 1550-1559, 2016	292	2016
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	273	2020
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	270	2020
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	238	2019
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	228	2018
Long-lasting stem cell–like memory CD8⁺ T cells with a naïve-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	223	2015
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	218	2019
Alignment and mapping methodology influence transcript abundance estimation A Srivastava, L Malik, H Sarkar, M Zakeri, F Almodaresi, C Soneson, ... Genome biology 21, 1-29, 2020	185	2020
Essential guidelines for computational method benchmarking LM Weber, W Saelens, R Cannoodt, C Soneson, A Hapfelmeier, ... Genome biology 20, 1-12, 2019	170	2019
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 (1), 139-173, 2019	166	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, 1-15, 2016	157	2016
Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification MI Love, C Soneson, R Patro F1000Research 7, 952, 2018	139	2018
Modulation of mTOR signalling triggers the formation of stem cell-like memory T cells G Scholz, C Jandus, L Zhang, C Grandclément, IC Lopez-Mejia, ... EBioMedicine 4, 50-61, 2016	123	2016

Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.

Articole 1–20

Referințe bibliografice pe an

Citate duplicat

Citate fuzionate

Adăugați coautoriCoautori

Urmăriți

Citat de

Coautori