Why weight? Modelling sample and observational level variability improves power in RNA-seq analyses.
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contamDE: differential expression analysis of RNA-seq data for contaminated tumor samples.RNA-seq mixology: designing realistic control experiments to compare protocols and analysis methodsIn mammalian foetal testes, SOX9 regulates expression of its target genes by binding to genomic regions with conserved signatures.Modeling bias and variation in the stochastic processes of small RNA sequencing.Joint analysis of left ventricular expression and circulating plasma levels of Omentin after myocardial ischemia.Predicting susceptibility to tuberculosis based on gene expression profiling in dendritic cells.Genome-wide binding and mechanistic analyses of Smchd1-mediated epigenetic regulationStatistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics.Mechanism of action of trabectedin in desmoplastic small round cell tumor cells.Transcriptional profiling of the epigenetic regulator Smchd1.Limits of Peripheral Blood Mononuclear Cells for Gene Expression-Based Biomarkers in Juvenile Idiopathic Arthritis.RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.Transcriptomic Analysis of the Activity of a Novel Polymyxin against Staphylococcus aureus.Gene expression variability and the analysis of large-scale RNA-seq studies with the MDSeq.Absence of PD-L1 on tumor cells is associated with reduced MHC I expression and PD-L1 expression increases in recurrent serous ovarian cancer.Sex differentiation in grayling (Salmonidae) goes through an all-male stage and is delayed in genetic males who instead grow faster.Human Primary Macrophages Derived In Vitro from Circulating Monocytes Comprise Adherent and Non-Adherent Subsets with Differential Expression of Siglec-1 and CD4 and Permissiveness to HIV-1 Infection.Shared and organism-specific host responses to childhood diarrheal diseases revealed by whole blood transcript profiling.Examination of Csr regulatory circuitry using epistasis analysis with RNA-seq (Epi-seq) confirms that CsrD affects gene expression via CsrA, CsrB and CsrC.Allergen-induced activation of natural killer cells represents an early-life immune response in the development of allergic asthma.Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing dataPPARγ Deficiency Suppresses the Release of IL-1β and IL-1α in Macrophages via a Type 1 IFN-Dependent MechanismTranscriptomic responses of Serratia liquefaciens cells grown under simulated Martian conditions of low temperature, low pressure, and CO-enriched anoxic atmosphereTranscriptome analysis of extended-spectrum β-lactamase-producing Escherichia coli and methicillin-resistant Staphylococcus aureus exposed to cefotaximeMeta-analysis of data from spaceflight transcriptome experiments does not support the idea of a common bacterial "spaceflight response"Detecting differentially expressed genes for syndromes by considering change in mean and dispersion simultaneously
P2860
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P2860
Why weight? Modelling sample and observational level variability improves power in RNA-seq analyses.
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2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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name
Why weight? Modelling sample a ...... ves power in RNA-seq analyses.
@ast
Why weight? Modelling sample a ...... ves power in RNA-seq analyses.
@en
type
label
Why weight? Modelling sample a ...... ves power in RNA-seq analyses.
@ast
Why weight? Modelling sample a ...... ves power in RNA-seq analyses.
@en
prefLabel
Why weight? Modelling sample a ...... ves power in RNA-seq analyses.
@ast
Why weight? Modelling sample a ...... ves power in RNA-seq analyses.
@en
P2093
P2860
P356
P1476
Why weight? Modelling sample a ...... ves power in RNA-seq analyses.
@en
P2093
Aliaksei Z Holik
Gordon K Smyth
Huei San Leong
Kelan Chen
Marie-Liesse Asselin-Labat
Natasha Jansz
Ruijie Liu
P2860
P356
10.1093/NAR/GKV412
P407
P577
2015-04-29T00:00:00Z