Freytag S - Search Results

1

Benchmarking single cell RNA-sequencing analysis pipelines using mixture control experiments.

Tian L, Dong X, Freytag S, Lê Cao KA, Su S, JalalAbadi A, Amann-Zalcenstein D, Weber TS, Seidi A, Jabbari JS, Naik SH, Ritchie ME. Tian L, et al. Among authors: freytag s. Nat Methods. 2019 Jun;16(6):479-487. doi: 10.1038/s41592-019-0425-8. Epub 2019 May 27. Nat Methods. 2019. PMID: 31133762

2

Subgroups in the treatment of nasal polyposis with dupilumab: A retrospective study.

Bertlich M, Freytag S, Dombrowski T, Jurmeister P, Spiegel JL, Bertlich I, Ihler F, Weiss BG, Haubner F, Gröger M. Bertlich M, et al. Among authors: freytag s. Medicine (Baltimore). 2022 Nov 11;101(45):e31031. doi: 10.1097/MD.0000000000031031. Medicine (Baltimore). 2022. PMID: 36397403 Free PMC article.

3

Low Dose Betahistine in Combination With Selegiline Increases Cochlear Blood Flow in Guinea Pigs.

Kloos B, Bertlich M, Spiegel JL, Freytag S, Lauer SK, Canis M, Weiss BG, Ihler F. Kloos B, et al. Among authors: freytag s. Ann Otol Rhinol Laryngol. 2023 May;132(5):519-526. doi: 10.1177/00034894221098803. Epub 2022 Jun 3. Ann Otol Rhinol Laryngol. 2023. PMID: 35656811 Free PMC article.

4

Comparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data.

Freytag S, Tian L, Lönnstedt I, Ng M, Bahlo M. Freytag S, et al. F1000Res. 2018 Aug 15;7:1297. doi: 10.12688/f1000research.15809.2. eCollection 2018. F1000Res. 2018. PMID: 30228881 Free PMC article.

5

CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods.

Su S, Tian L, Dong X, Hickey PF, Freytag S, Ritchie ME. Su S, et al. Among authors: freytag s. Bioinformatics. 2020 Apr 1;36(7):2288-2290. doi: 10.1093/bioinformatics/btz889. Bioinformatics. 2020. PMID: 31778143 Free PMC article.

6

schex avoids overplotting for large single-cell RNA-sequencing datasets.

Freytag S, Lister R. Freytag S, et al. Bioinformatics. 2020 Apr 1;36(7):2291-2292. doi: 10.1093/bioinformatics/btz907. Bioinformatics. 2020. PMID: 31794001

7

brain-coX: investigating and visualising gene co-expression in seven human brain transcriptomic datasets.

Freytag S, Burgess R, Oliver KL, Bahlo M. Freytag S, et al. Genome Med. 2017 Jun 8;9(1):55. doi: 10.1186/s13073-017-0444-y. Genome Med. 2017. PMID: 28595657 Free PMC article.

We achieved average sensitivity of nearly 50%, at the same time reaching a specificity of approximately 75%. We also compared brain-coX's performance to that of its main competitors, Endeavour and ToppGene, focusing on the ability to discover novel associations. Using a su …

We achieved average sensitivity of nearly 50%, at the same time reaching a specificity of approximately 75%. We also compared brain-coX's …

8

dtangle: accurate and robust cell type deconvolution.

Hunt GJ, Freytag S, Bahlo M, Gagnon-Bartsch JA. Hunt GJ, et al. Among authors: freytag s. Bioinformatics. 2019 Jun 1;35(12):2093-2099. doi: 10.1093/bioinformatics/bty926. Bioinformatics. 2019. PMID: 30407492

9

A survey of RNA editing at single-cell resolution links interneurons to schizophrenia and autism.

Ansell BRE, Thomas SN, Bonelli R, Munro JE, Freytag S, Bahlo M. Ansell BRE, et al. Among authors: freytag s. RNA. 2021 Dec;27(12):1482-1496. doi: 10.1261/rna.078804.121. Epub 2021 Sep 17. RNA. 2021. PMID: 34535545 Free PMC article.

10

Systematic noise degrades gene co-expression signals but can be corrected.

Freytag S, Gagnon-Bartsch J, Speed TP, Bahlo M. Freytag S, et al. BMC Bioinformatics. 2015 Sep 24;16:309. doi: 10.1186/s12859-015-0745-3. BMC Bioinformatics. 2015. PMID: 26403471 Free PMC article.

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