Literature DB >> 31937974

Droplet scRNA-seq is not zero-inflated.

Valentine Svensson1.   

Abstract

Mesh：

Year:  2020        PMID： 31937974     DOI： 10.1038/s41587-019-0379-5

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN： 1087-0156            Impact factor:   54.908


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  73 in total

1.  Simulation, power evaluation and sample size recommendation for single-cell RNA-seq.

Authors:  Kenong Su; Zhijin Wu; Hao Wu
Journal:  Bioinformatics       Date:  2020-12-08       Impact factor: 6.937

2.  Bayesian inference of gene expression states from single-cell RNA-seq data.

Authors:  Jérémie Breda; Mihaela Zavolan; Erik van Nimwegen
Journal:  Nat Biotechnol       Date:  2021-04-29       Impact factor: 54.908

3.  Normalization of Single-Cell RNA-Seq Data.

Authors:  Davide Risso
Journal:  Methods Mol Biol       Date:  2021

Review 4.  The triumphs and limitations of computational methods for scRNA-seq.

Authors:  Peter V Kharchenko
Journal:  Nat Methods       Date:  2021-06-21       Impact factor: 28.547

Review 5.  Tools for the analysis of high-dimensional single-cell RNA sequencing data.

Authors:  Yan Wu; Kun Zhang
Journal:  Nat Rev Nephrol       Date:  2020-03-27       Impact factor: 28.314

6.  Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data.

Authors:  Chunman Zuo; Luonan Chen
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

7.  Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces.

Authors:  Jiarui Ding; Aviv Regev
Journal:  Nat Commun       Date:  2021-05-05       Impact factor: 14.919

Review 8.  Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis.

Authors:  Abhishek Sarkar; Matthew Stephens
Journal:  Nat Genet       Date:  2021-05-24       Impact factor: 38.330

9.  SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues.

Authors:  Carly G K Ziegler; Samuel J Allon; Sarah K Nyquist; Ian M Mbano; Vincent N Miao; Constantine N Tzouanas; Yuming Cao; Ashraf S Yousif; Julia Bals; Blake M Hauser; Jared Feldman; Christoph Muus; Marc H Wadsworth; Samuel W Kazer; Travis K Hughes; Benjamin Doran; G James Gatter; Marko Vukovic; Faith Taliaferro; Benjamin E Mead; Zhiru Guo; Jennifer P Wang; Delphine Gras; Magali Plaisant; Meshal Ansari; Ilias Angelidis; Heiko Adler; Jennifer M S Sucre; Chase J Taylor; Brian Lin; Avinash Waghray; Vanessa Mitsialis; Daniel F Dwyer; Kathleen M Buchheit; Joshua A Boyce; Nora A Barrett; Tanya M Laidlaw; Shaina L Carroll; Lucrezia Colonna; Victor Tkachev; Christopher W Peterson; Alison Yu; Hengqi Betty Zheng; Hannah P Gideon; Caylin G Winchell; Philana Ling Lin; Colin D Bingle; Scott B Snapper; Jonathan A Kropski; Fabian J Theis; Herbert B Schiller; Laure-Emmanuelle Zaragosi; Pascal Barbry; Alasdair Leslie; Hans-Peter Kiem; JoAnne L Flynn; Sarah M Fortune; Bonnie Berger; Robert W Finberg; Leslie S Kean; Manuel Garber; Aaron G Schmidt; Daniel Lingwood; Alex K Shalek; Jose Ordovas-Montanes
Journal:  Cell       Date:  2020-04-27       Impact factor: 41.582

10.  Stratified Test Accurately Identifies Differentially Expressed Genes Under Batch Effects in Single-Cell Data.

Authors:  Shaoheng Liang; Qingnan Liang; Rui Chen; Ken Chen
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2021-12-08       Impact factor: 3.710
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