Literature DB >> 27281414

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

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Year:  2016        PMID： 27281414     DOI： 10.1038/nbt.3607

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


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  10 in total

1.  Helper T cell differentiation is controlled by the cell cycle.

Authors:  J J Bird; D R Brown; A C Mullen; N H Moskowitz; M A Mahowald; J R Sider; T F Gajewski; C R Wang; S L Reiner
Journal:  Immunity       Date:  1998-08       Impact factor: 31.745

2.  Diffusion maps for high-dimensional single-cell analysis of differentiation data.

Authors:  Laleh Haghverdi; Florian Buettner; Fabian J Theis
Journal:  Bioinformatics       Date:  2015-05-21       Impact factor: 6.937

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

Review 4.  Computational and analytical challenges in single-cell transcriptomics.

Authors:  Oliver Stegle; Sarah A Teichmann; John C Marioni
Journal:  Nat Rev Genet       Date:  2015-01-28       Impact factor: 53.242

5.  Stat6 and c-Jun mediate Th2 cell-specific IL-24 gene expression.

Authors:  Anupama Sahoo; Choong-Gu Lee; Arijita Jash; Jun-Seock Son; Gicheon Kim; Ho-Keun Kwon; Jae-Seon So; Sin-Hyeog Im
Journal:  J Immunol       Date:  2011-02-25       Impact factor: 5.422

6.  Camera: a competitive gene set test accounting for inter-gene correlation.

Authors:  Di Wu; Gordon K Smyth
Journal:  Nucleic Acids Res       Date:  2012-05-25       Impact factor: 16.971

7.  BASiCS: Bayesian Analysis of Single-Cell Sequencing Data.

Authors:  Catalina A Vallejos; John C Marioni; Sylvia Richardson
Journal:  PLoS Comput Biol       Date:  2015-06-24       Impact factor: 4.475

8.  Exploiting single-cell expression to characterize co-expression replicability.

Authors:  Megan Crow; Anirban Paul; Sara Ballouz; Z Josh Huang; Jesse Gillis
Journal:  Genome Biol       Date:  2016-05-06       Impact factor: 13.583

9.  Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity.

Authors:  Yohei Sasagawa; Itoshi Nikaido; Tetsutaro Hayashi; Hiroki Danno; Kenichiro D Uno; Takeshi Imai; Hiroki R Ueda
Journal:  Genome Biol       Date:  2013-04-17       Impact factor: 13.583

10.  Pooling across cells to normalize single-cell RNA sequencing data with many zero counts.

Authors:  Aaron T L Lun; Karsten Bach; John C Marioni
Journal:  Genome Biol       Date:  2016-04-27       Impact factor: 13.583
  10 in total

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