Integrated, multicohort analysis of systemic sclerosis identifies robust transcriptional signature of disease severity.
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Endogenous ligands of TLR4 promote unresolving tissue fibrosis: Implications for systemic sclerosis and its targeted therapy.Gene annotation bias impedes biomedical research.Thinking BIG rheumatology: how to make functional genomics data work for you.Unmet Needs in Systemic Sclerosis Understanding and Treatment: the Knowledge Gaps from a Scientist's, Clinician's, and Patient's Perspective.KLRD1-expressing natural killer cells predict influenza susceptibility.The mechanistic implications of gene expression studies in SSc: Insights from Systems BiologyLeveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biasesAdvanced model systems and tools for basic and translational human immunology
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P2860
Integrated, multicohort analysis of systemic sclerosis identifies robust transcriptional signature of disease severity.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 22 December 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Integrated, multicohort analys ...... signature of disease severity.
@en
Integrated, multicohort analys ...... signature of disease severity.
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type
label
Integrated, multicohort analys ...... signature of disease severity.
@en
Integrated, multicohort analys ...... signature of disease severity.
@nl
prefLabel
Integrated, multicohort analys ...... signature of disease severity.
@en
Integrated, multicohort analys ...... signature of disease severity.
@nl
P2093
P2860
P1433
P1476
Integrated, multicohort analys ...... signature of disease severity.
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P2093
Anna Haemel
Antonia Valenzuela
David Fiorentino
Esperanza Arroyo
Francesco Boin
Jessica Gordon
Kathleen Aren
Lorinda Chung
Mary Carns
P2860
P304
P356
10.1172/JCI.INSIGHT.89073
P577
2016-12-22T00:00:00Z