Challenges in unsupervised clustering of single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) allows researchers to collect large catalogues
detailing the transcriptomes of individual cells. Unsupervised clustering is of central importance …
detailing the transcriptomes of individual cells. Unsupervised clustering is of central importance …
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …
you to profile the whole transcriptome of a large number of individual cells. However, the …
[PDF][PDF] Single‐cell, single‐nucleus, and spatial RNA sequencing of the human liver identifies cholangiocyte and mesenchymal heterogeneity
The critical functions of the human liver are coordinated through the interactions of hepatic
parenchymal and non‐parenchymal cells. Recent advances in single‐cell transcriptional …
parenchymal and non‐parenchymal cells. Recent advances in single‐cell transcriptional …
Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods
Single-cell transcriptomics can profile thousands of cells in a single experiment and identify
novel cell types, states and dynamics in a wide variety of tissues and organisms. Standard …
novel cell types, states and dynamics in a wide variety of tissues and organisms. Standard …
[HTML][HTML] Identifying cell populations with scRNASeq
TS Andrews, M Hemberg - Molecular aspects of medicine, 2018 - Elsevier
Single-cell RNASeq (scRNASeq) has emerged as a powerful method for quantifying the
transcriptome of individual cells. However, the data from scRNASeq experiments is often both …
transcriptome of individual cells. However, the data from scRNASeq experiments is often both …
M3Drop: dropout-based feature selection for scRNASeq
TS Andrews, M Hemberg - Bioinformatics, 2019 - academic.oup.com
Motivation Most genomes contain thousands of genes, but for most functional responses,
only a subset of those genes are relevant. To facilitate many single-cell RNASeq (scRNASeq) …
only a subset of those genes are relevant. To facilitate many single-cell RNASeq (scRNASeq) …
[HTML][HTML] False signals induced by single-cell imputation
TS Andrews, M Hemberg - F1000Research, 2018 - ncbi.nlm.nih.gov
Background: Single-cell RNA-seq is a powerful tool for measuring gene expression at the
resolution of individual cells. A challenge in the analysis of this data is the large amount of …
resolution of individual cells. A challenge in the analysis of this data is the large amount of …
Phosphorylation switches Bax from promoting to inhibiting apoptosis thereby increasing drug resistance
Akt is a pro‐survival kinase frequently activated in human cancers and is associated with
more aggressive tumors that resist therapy. Here, we connect Akt pathway activation to …
more aggressive tumors that resist therapy. Here, we connect Akt pathway activation to …
[HTML][HTML] Single-cell and spatial transcriptomics characterisation of the immunological landscape in the healthy and PSC human liver
… Author links open overlay panel Tallulah S. Andrews 1 2 3 # , Diana Nakib 1 4 # , Catia T.
Perciani 1 4 5 , Xue Zhong Ma 1 , Lewis Liu 1 4 , Erin Winter 1 , Damra Camat 1 4 , Sai W. …
Perciani 1 4 5 , Xue Zhong Ma 1 , Lewis Liu 1 4 , Erin Winter 1 , Damra Camat 1 4 , Sai W. …
Publisher Correction: Challenges in unsupervised clustering of single-cell RNA-seq data.
During typesetting of this article, errors were inadvertently introduced to the hyperlinked URLs
of some of the clustering tools in table 1 (Seurat, CIDR, pcaReduce and mpath), as well as …
of some of the clustering tools in table 1 (Seurat, CIDR, pcaReduce and mpath), as well as …