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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

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TLDR
This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
Abstract
In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html .

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The Short Chain Fatty Acid Butyrate Imprints an Antimicrobial Program in Macrophages.

TL;DR: The data suggest that increased intestinal butyrate might represent a strategy to bolster host defense without tissue damaging inflammation and that pharmacological HDAC3 inhibition might drive selective macrophage functions toward antimicrobial host defense.
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Transcriptomics technologies

TL;DR: The first attempts to study the whole transcriptome began in the early 1990s, and technological advances since the late 1990s have made transcriptomics a widespread discipline as mentioned in this paper, which has enabled the study of how gene expression changes in different organisms and has been instrumental in the understanding of human disease.
Journal ArticleDOI

An accurate and robust imputation method scImpute for single-cell RNA-seq data.

TL;DR: Evaluation based on both simulated and real human and mouse scRNA-seq data suggests that scImpute is an effective tool to recover transcriptome dynamics masked by dropouts, and scImputes to identify likely dropouts and enhance the clustering of cell subpopulations, improve the accuracy of differential expression analysis, and aid the study of gene expression dynamics.
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Guided self-organization and cortical plate formation in human brain organoids

TL;DR: Microfilament-engineered cerebral organoids (enCORs) model the distinctive radial organization of the cerebral cortex and allow for the study of neuronal migration and demonstrate that combining 3D cell culture with bioengineering can increase reproducibility and improve tissue architecture.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
Book

Generalized Linear Models

TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Book

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

TL;DR: In this paper, the authors describe the important ideas in these areas in a common conceptual framework, and the emphasis is on concepts rather than mathematics, with a liberal use of color graphics.
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