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Tissue Handling and Dissociation for Single-Cell RNA-Seq
Methods in Molecular Biology - Single Cell Methods
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10.1007/978-1-4939-9240-9_2
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2019
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pp. 9-21
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Cited By ~ 5
Author(s):
Felipe A. Vieira Braga
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Ricardo J. Miragaia
Keyword(s):
Single Cell
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Rna Seq
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Tissue Handling
Download Full-text
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10.23919/ccc50068.2020.9188589
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2016
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◽
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Faculty Opinions recommendation of SCnorm: robust normalization of single-cell RNA-seq data.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
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10.3410/f.727515021.793534656
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2017
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Faculty Opinions recommendation of Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
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10.3410/f.727539520.793534943
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◽
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◽
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Faculty Opinions recommendation of Challenges in unsupervised clustering of single-cell RNA-seq data.
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Faculty Opinions recommendation of Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity.
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Faculty Opinions recommendation of A systematic evaluation of single cell RNA-seq analysis pipelines.
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Faculty Opinions recommendation of Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas.
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10.3410/f.737201328.793570113
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2020
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