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Open AccessJournal ArticleDOI

Integrated analysis of multimodal single-cell data

TLDR
Weighted-nearest neighbor analysis as mentioned in this paper is an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities.
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This article is published in Cell.The article was published on 2021-06-24 and is currently open access. It has received 3369 citations till now.

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Single-cell chromatin state analysis with Signac.

TL;DR: Signac as mentioned in this paper is a comprehensive toolkit for the analysis of single-cell chromatin data, including peak calling, quantification, quality control, dimension reduction, clustering, integration with singlecell gene expression datasets, DNA motif analysis and interactive visualization.
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Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays

TL;DR: Pijuan-Sala et al. as discussed by the authors combined DNA nanoball (DNB)-patterned arrays and in situ RNA capture to create spatial enhanced resolution omics-sequencing (Stereo-seq).
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Model-based Analysis of ChIP-Seq (MACS)

TL;DR: This work presents Model-based Analysis of ChIP-Seq data, MACS, which analyzes data generated by short read sequencers such as Solexa's Genome Analyzer, and uses a dynamic Poisson distribution to effectively capture local biases in the genome, allowing for more robust predictions.
Journal ArticleDOI

Comprehensive Integration of Single-Cell Data.

TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.
Posted Content

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

TL;DR: The UMAP algorithm is competitive with t-SNE for visualization quality, and arguably preserves more of the global structure with superior run time performance.
Journal ArticleDOI

The orphan nuclear receptor RORgammat directs the differentiation program of proinflammatory IL-17+ T helper cells.

TL;DR: It is shown that the orphan nuclear receptor RORgammat is the key transcription factor that orchestrates the differentiation of this effector cell lineage of proinflammatory T helper cells and its potential as a therapeutic target in inflammatory diseases is highlighted.
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