DiSignAtlas: an atlas of human and mouse disease signatures based on bulk and single-cell transcriptomics
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Title
DiSignAtlas: an atlas of human and mouse disease signatures based on bulk and single-cell transcriptomics
Authors
Keywords
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Journal
NUCLEIC ACIDS RESEARCH
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2023-11-07
DOI
10.1093/nar/gkad961
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Note: Only part of the references are listed.- Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data
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- (2021) Chenwei Li et al. NUCLEIC ACIDS RESEARCH
- Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures
- (2021) Arutha Kulasinghe et al. EUROPEAN RESPIRATORY JOURNAL
- The Human Disease Ontology 2022 update
- (2021) Lynn M Schriml et al. NUCLEIC ACIDS RESEARCH
- IFP35 as a promising biomarker and therapeutic target for the syndromes induced by SARS-CoV-2 or influenza virus
- (2021) Yang Yu et al. Cell Reports
- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- From ArrayExpress to BioStudies
- (2020) Ugis Sarkans et al. NUCLEIC ACIDS RESEARCH
- The Gene Ontology resource: enriching a GOld mine
- (2020) et al. NUCLEIC ACIDS RESEARCH
- The Human Phenotype Ontology in 2021
- (2020) Sebastian Köhler et al. NUCLEIC ACIDS RESEARCH
- Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype
- (2019) Daehwan Kim et al. NATURE BIOTECHNOLOGY
- Identifying novel biomarkers of the pediatric influenza infection by weighted co-expression network analysis
- (2019) Mohadeseh Zarei Ghobadi et al. Virology Journal
- OUP accepted manuscript
- (2018) BIOINFORMATICS
- Integrative omics for health and disease
- (2018) Konrad J. Karczewski et al. NATURE REVIEWS GENETICS
- OUP accepted manuscript
- (2018) NUCLEIC ACIDS RESEARCH
- OMIM.org: leveraging knowledge across phenotype–gene relationships
- (2018) Joanna S Amberger et al. NUCLEIC ACIDS RESEARCH
- A novel immune biomarkerIFI27discriminates between influenza and bacteria in patients with suspected respiratory infection
- (2017) Benjamin M. Tang et al. EUROPEAN RESPIRATORY JOURNAL
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- (2017) Heonjong Han et al. NUCLEIC ACIDS RESEARCH
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- (2017) Hayley M Dingerdissen et al. NUCLEIC ACIDS RESEARCH
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- (2017) Beryl B. Cummings et al. Science Translational Medicine
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- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
- (2013) Y. Liao et al. BIOINFORMATICS
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- NCBI GEO: archive for functional genomics data sets—update
- (2012) Tanya Barrett et al. NUCLEIC ACIDS RESEARCH
- Modeling sample variables with an Experimental Factor Ontology
- (2010) James Malone et al. BIOINFORMATICS
- Importing ArrayExpress datasets into R/Bioconductor
- (2009) Audrey Kauffmann et al. BIOINFORMATICS
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
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