cran.rstudio.com/web/packages/RaceID/index.html

Preview meta tags from the cran.rstudio.com website.

Linked Hostnames

3

Thumbnail

Search Engine Appearance

Google

https://cran.rstudio.com/web/packages/RaceID/index.html

RaceID: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data

Application of 'RaceID' allows inference of cell types and prediction of lineage trees by the 'StemID2' algorithm (Herman, J.S., Sagar, Grun D. (2018) &lt;<a href="https://doi.org/10.1038%2Fnmeth.4662" target="_top">doi:10.1038/nmeth.4662</a>&gt;). 'VarID2' is part of this package and allows quantification of biological gene expression noise at single-cell resolution (Rosales-Alvarez, R.E., Rettkowski, J., Herman, J.S., Dumbovic, G., Cabezas-Wallscheid, N., Grun, D. (2023) &lt;<a href="https://doi.org/10.1186%2Fs13059-023-02974-1" target="_top">doi:10.1186/s13059-023-02974-1</a>&gt;).



Bing

RaceID: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data

https://cran.rstudio.com/web/packages/RaceID/index.html

Application of 'RaceID' allows inference of cell types and prediction of lineage trees by the 'StemID2' algorithm (Herman, J.S., Sagar, Grun D. (2018) &lt;<a href="https://doi.org/10.1038%2Fnmeth.4662" target="_top">doi:10.1038/nmeth.4662</a>&gt;). 'VarID2' is part of this package and allows quantification of biological gene expression noise at single-cell resolution (Rosales-Alvarez, R.E., Rettkowski, J., Herman, J.S., Dumbovic, G., Cabezas-Wallscheid, N., Grun, D. (2023) &lt;<a href="https://doi.org/10.1186%2Fs13059-023-02974-1" target="_top">doi:10.1186/s13059-023-02974-1</a>&gt;).



DuckDuckGo

https://cran.rstudio.com/web/packages/RaceID/index.html

RaceID: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data

Application of 'RaceID' allows inference of cell types and prediction of lineage trees by the 'StemID2' algorithm (Herman, J.S., Sagar, Grun D. (2018) &lt;<a href="https://doi.org/10.1038%2Fnmeth.4662" target="_top">doi:10.1038/nmeth.4662</a>&gt;). 'VarID2' is part of this package and allows quantification of biological gene expression noise at single-cell resolution (Rosales-Alvarez, R.E., Rettkowski, J., Herman, J.S., Dumbovic, G., Cabezas-Wallscheid, N., Grun, D. (2023) &lt;<a href="https://doi.org/10.1186%2Fs13059-023-02974-1" target="_top">doi:10.1186/s13059-023-02974-1</a>&gt;).

  • General Meta Tags

    9
    • title
      CRAN: Package RaceID
    • Content-Type
      text/html; charset=utf-8
    • viewport
      width=device-width, initial-scale=1.0, user-scalable=yes
    • citation_title
      Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data [R package RaceID version 0.3.9]
    • citation_author
      Dominic Grün
  • Open Graph Meta Tags

    5
    • og:title
      RaceID: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
    • og:description
      Application of 'RaceID' allows inference of cell types and prediction of lineage trees by the 'StemID2' algorithm (Herman, J.S., Sagar, Grun D. (2018) &lt;<a href="https://doi.org/10.1038%2Fnmeth.4662" target="_top">doi:10.1038/nmeth.4662</a>&gt;). 'VarID2' is part of this package and allows quantification of biological gene expression noise at single-cell resolution (Rosales-Alvarez, R.E., Rettkowski, J., Herman, J.S., Dumbovic, G., Cabezas-Wallscheid, N., Grun, D. (2023) &lt;<a href="https://doi.org/10.1186%2Fs13059-023-02974-1" target="_top">doi:10.1186/s13059-023-02974-1</a>&gt;).
    • og:image
      https://CRAN.R-project.org/CRANlogo.png
    • og:type
      website
    • og:url
      https://CRAN.R-project.org/package=RaceID
  • Twitter Meta Tags

    1
    • twitter:card
      summary
  • Link Tags

    2
    • canonical
      https://CRAN.R-project.org/package=RaceID
    • stylesheet
      ../../CRAN_web.css

Links

10