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AG Bonn 1
Computational analysis of biological networks Also known as:AG Bonn 1; Rechenbasierte Analyse biologischer NetzwerkeID | I:(DE-2719)1410003 |
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Journal Article
A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors.
Cell reports 32(12), 108175 (2020) [10.1016/j.celrep.2020.108175]
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Neuropathology of patients with COVID-19 in Germany: a post-mortem case series
The lancet <London> / Neurology 19(11), 919 - 929 (2020) [10.1016/S1474-4422(20)30308-2]
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Journal Article
Pathogen-induced tissue-resident memory T H 17 (T RM 17) cells amplify autoimmune kidney disease
Science immunology 5(50), eaba4163 (2020) [10.1126/sciimmunol.aba4163]
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Journal Article
Deep learning–based cell composition analysis from tissue expression profiles
Science advances 6(30), eaba2619 - (2020) [10.1126/sciadv.aba2619]
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Journal Article
CRISPLD1: a novel conserved target in the transition to human heart failure
Basic research in cardiology 115(3), 27 (2020) [10.1007/s00395-020-0784-4]
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Journal Article
SEAweb: the small RNA Expression Atlas web application.
Nucleic acids research 48(D1), D204-D219 (2020) [10.1093/nar/gkz869]
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Journal Article
Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks.
Nature Communications 11(1), 166 (2020) [10.1038/s41467-019-14018-z]
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Journal Article
Organ-specific small non-coding RNA responses in domestic (Sudani) ducks experimentally infected with highly pathogenic avian influenza virus (H5N1).
RNA biology 17(1), 112-124 (2020) [10.1080/15476286.2019.1669879]
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Journal Article
Explainable Deep Learning for Augmentation of Small RNA Expression Profiles.342
Journal of computational biology 27(2), 234 - 247 (2019) [10.1089/cmb.2019.0320]
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Conference Presentation (Other)
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles
15th International Symposium on Bioinformatics Research and Applications (ISBRA), BarcelonaBarcelona, Spain, 3 Jun 2019 - 6 Jun 2019
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