Decoding Neuronal Diversification by Multiplexed Single-cell RNA-Seq

Stem Cell Reports ◽

10.1016/j.stemcr.2021.02.006 ◽

2021 ◽

Author(s):

Joachim Luginbühl ◽

Tsukasa Kouno ◽

Rei Nakano ◽

Thomas E. Chater ◽

Divya M. Sivaraman ◽

...

Keyword(s):

Single Cell ◽

Rna Seq ◽

Neuronal Diversification

Download Full-text

ECBN: Ensemble Clustering based on Bayesian Network inference for Single-cell RNA-seq Data

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188589 ◽

2020 ◽

Author(s):

Dexin Zhang ◽

Yuan Zhu

Keyword(s):

Bayesian Network ◽

Single Cell ◽

Network Inference ◽

Ensemble Clustering ◽

Rna Seq ◽

Bayesian Network Inference

Download Full-text

Faculty Opinions recommendation of Single-cell RNA-seq reveals dynamic paracrine control of cellular variation.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718445581.793514072 ◽

2016 ◽

Author(s):

Cole Trapnell ◽

Serena Liu

Keyword(s):

Single Cell ◽

Download Full-text

Faculty Opinions recommendation of Single-cell RNA-seq identifies a PD-1hi ILC progenitor and defines its development pathway.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726853812.793538588 ◽

2017 ◽

Author(s):

Michael J Holtzman

Keyword(s):

Single Cell ◽

Rna Seq ◽

Development Pathway

Download Full-text

Faculty Opinions recommendation of SCnorm: robust normalization of single-cell RNA-seq data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.727515021.793534656 ◽

2017 ◽

Author(s):

Lauren McIntyre

Keyword(s):

Single Cell ◽

Download Full-text

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 ◽

10.3410/f.727539520.793534943 ◽

2017 ◽

Author(s):

Philippe Saas ◽

Sylvain Perruche

Keyword(s):

Dendritic Cells ◽

Single Cell ◽

Human Blood ◽

Download Full-text

Faculty Opinions recommendation of Detecting Activated Cell Populations Using Single-Cell RNA-Seq.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.731978868.793538401 ◽

2017 ◽

Author(s):

Yi Eve Sun ◽

Weihong Ge

Keyword(s):

Single Cell ◽

Cell Populations ◽

Download Full-text

Faculty Opinions recommendation of Challenges in unsupervised clustering of single-cell RNA-seq data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.734773782.793581119 ◽

2020 ◽

Author(s):

Sushmita Roy

Keyword(s):

Single Cell ◽

Unsupervised Clustering ◽

Download Full-text

Faculty Opinions recommendation of Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.735170781.793574482 ◽

2020 ◽

Author(s):

Vijay Tiwari ◽

Mohammed Inayatullah

Keyword(s):

Single Cell ◽

Disease Progression ◽

Download Full-text

Faculty Opinions recommendation of A systematic evaluation of single cell RNA-seq analysis pipelines.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.736736304.793566365 ◽

2019 ◽

Author(s):

Hans-Rudolf Hotz

Keyword(s):

Single Cell ◽

Systematic Evaluation ◽

Download Full-text

Faculty Opinions recommendation of Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.737201328.793570113 ◽

2020 ◽

Author(s):

Hans-Rudolf Hotz

Keyword(s):

Single Cell ◽

Rna Seq ◽

Tissue Architecture

Download Full-text