FEATS: feature selection-based clustering of single-cell RNA-seq data
, 2021 MOTIVATION: Advances in next-generation sequencing have made it possible to carry out transcriptomic studies at single-cell resolution and generate vast amounts of single-cell RNA sequencing (RNA-seq) data rapidly.
Vans, E, Patil, A, Sharma, A
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Improved annotation of 3' untranslated regions and complex loci by combination of strand-specific direct RNA sequencing, RNA-seq and ESTs [PDF]
, 2014 The reference annotations made for a genome sequence provide the framework for all subsequent analyses of the genome. Correct and complete annotation in addition to the underlying genomic sequence is particularly important when interpreting the results ...
Junfang Song +29 more
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Concordance of MERFISH spatial transcriptomics with bulk and single-cell RNA sequencing
Life Science Alliance, 2023 Single-cell RNA-seq is an important technology for capturing gene expression in individual cells. It has limitations as spatial context and accurate representation of cell types in the tissue are lost.
Jonathan Liu +16 more
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Detecting differential usage of exons from RNA-Seq data [PDF]
, 2012 RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative isoform expression. Understanding the regulation of these processes requires comparisons between treatments, tissues or conditions.
Simon Anders +2 more
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Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks
, 2021 Single-cell RNA sequencing technology promotes the profiling of single-cell transcriptomes at an unprecedented throughput and resolution. However, in scRNA-seq studies, only a low amount of sequenced mRNA in each cell leads to missing detection for a ...
Rao, J +4 more
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SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Genome Biology, 2019 Single-cell RNA-seq data contain a large proportion of zeros for expressed genes. Such dropout events present a fundamental challenge for various types of data analyses. Here, we describe the SCRABBLE algorithm to address this problem. SCRABBLE leverages
Tao Peng, Qin Zhu, Penghang Yin, Kai Tan
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Nuclear RNA sequencing of the mouse erythroid cell transcriptome [PDF]
, 2012 Copyright @ 2012 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source ...
Umlauf David +39 more
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Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
Cancer Medicine, 2019 Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype.
Qianqian Song +19 more
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Single-cell RNA sequencing reveals T helper cells synthesizing steroids de novo to contribute to immune homeostasis [PDF]
, 2014 T helper 2 (Th2) cells regulate helminth infections, allergic disorders, tumor immunity, and pregnancy by secreting various cytokines. It is likely that there are undiscovered Th2 signaling molecules.
Xiuwei Zhang +32 more
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Differential detection and differential expression in single-cell RNA-seq data [PDF]
, 2023 openL'introduzione del sequenziamento a singola cellula del RNA, conoscituo anche come scRNA-seq, ha rivoluzionato gli studi di trascrittomica. Le precedenti tecnologie fornivano il numero di geni espressi per ogni campione senza andare a considerare in ...
PERIN, LAURA
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