Literature DB >> 27281413

The contribution of cell cycle to heterogeneity in single-cell RNA-seq data.

Andrew McDavid1, Greg Finak1, Raphael Gottardo1.   

Abstract

Entities:  

Mesh：

Substances：

Year:  2016        PMID： 27281413      PMCID： PMC5934759          DOI： 10.1038/nbt.3498

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


× No keyword cloud information.
  5 in total

1.  Using control genes to correct for unwanted variation in microarray data.

Authors:  Johann A Gagnon-Bartsch; Terence P Speed
Journal:  Biostatistics       Date:  2011-11-17       Impact factor: 5.899

2.  Normalization of RNA-seq data using factor analysis of control genes or samples.

Authors:  Davide Risso; John Ngai; Terence P Speed; Sandrine Dudoit
Journal:  Nat Biotechnol       Date:  2014-08-24       Impact factor: 54.908

3.  Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.

Authors:  Florian Buettner; Kedar N Natarajan; F Paolo Casale; Valentina Proserpio; Antonio Scialdone; Fabian J Theis; Sarah A Teichmann; John C Marioni; Oliver Stegle
Journal:  Nat Biotechnol       Date:  2015-01-19       Impact factor: 54.908

4.  Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms.

Authors:  Olivia Padovan-Merhar; Gautham P Nair; Andrew G Biaesch; Andreas Mayer; Steven Scarfone; Shawn W Foley; Angela R Wu; L Stirling Churchman; Abhyudai Singh; Arjun Raj
Journal:  Mol Cell       Date:  2015-04-09       Impact factor: 17.970

5.  Modeling bi-modality improves characterization of cell cycle on gene expression in single cells.

Authors:  Andrew McDavid; Lucas Dennis; Patrick Danaher; Greg Finak; Michael Krouse; Alice Wang; Philippa Webster; Joseph Beechem; Raphael Gottardo
Journal:  PLoS Comput Biol       Date:  2014-07-17       Impact factor: 4.475
  5 in total
  30 in total

Review 1.  Organelles - understanding noise and heterogeneity in cell biology at an intermediate scale.

Authors:  Amy Y Chang; Wallace F Marshall
Journal:  J Cell Sci       Date:  2017-02-09       Impact factor: 5.285

2.  TRACING CO-REGULATORY NETWORK DYNAMICS IN NOISY, SINGLE-CELL TRANSCRIPTOME TRAJECTORIES.

Authors:  Pablo Cordero; Joshua M Stuart
Journal:  Pac Symp Biocomput       Date:  2017

Review 3.  Single-Cell RNA-Seq of the Pancreatic Islets--a Promise Not yet Fulfilled?

Authors:  Yue J Wang; Klaus H Kaestner
Journal:  Cell Metab       Date:  2018-12-20       Impact factor: 27.287

Review 4.  Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data.

Authors:  Shun H Yip; Pak Chung Sham; Junwen Wang
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

5.  An accurate and robust imputation method scImpute for single-cell RNA-seq data.

Authors:  Wei Vivian Li; Jingyi Jessica Li
Journal:  Nat Commun       Date:  2018-03-08       Impact factor: 14.919

6.  Single-cell Quantitation of mRNA and Surface Protein Expression in Simian Immunodeficiency Virus-infected CD4+ T Cells Isolated from Rhesus macaques.

Authors:  Andrey Tokarev; Matthew Creegan; Michael A Eller; Mario Roederer; Diane L Bolton
Journal:  J Vis Exp       Date:  2018-09-25       Impact factor: 1.355

7.  scIGANs: single-cell RNA-seq imputation using generative adversarial networks.

Authors:  Yungang Xu; Zhigang Zhang; Lei You; Jiajia Liu; Zhiwei Fan; Xiaobo Zhou
Journal:  Nucleic Acids Res       Date:  2020-09-04       Impact factor: 16.971

Review 8.  Co-expression in Single-Cell Analysis: Saving Grace or Original Sin?

Authors:  Megan Crow; Jesse Gillis
Journal:  Trends Genet       Date:  2018-08-23       Impact factor: 11.639

9.  Single-cell RNA-seq reveals developmental plasticity with coexisting oncogenic states and immune evasion programs in ETP-ALL.

Authors:  Praveen Anand; Amy Guillaumet-Adkins; Valeriya Dimitrova; Huiyoung Yun; Yotam Drier; Noori Sotudeh; Anna Rogers; Madhu M Ouseph; Monica Nair; Sayalee Potdar; Randi Isenhart; Jake A Kloeber; Tushara Vijaykumar; Leili Niu; Tiffaney Vincent; Guangwu Guo; Julia Frede; Marian H Harris; Andrew E Place; Lewis B Silverman; David T Teachey; Andrew A Lane; Daniel J DeAngelo; Jon C Aster; Bradley E Bernstein; Jens G Lohr; Birgit Knoechel
Journal:  Blood       Date:  2021-05-06       Impact factor: 22.113

Review 10.  Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments.

Authors:  Xiaoqing Yu; Farnoosh Abbas-Aghababazadeh; Y Ann Chen; Brooke L Fridley
Journal:  Methods Mol Biol       Date:  2021
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.