Revealing differentially expressed genes using nonlinear dimensionality reduction for single cell RNA-Seq data

CatKernel | Categorical Kernel function |

FUCHIKOMA | Revealing differentially expressed genes using nonlinear... |

FUCHIKOMA-package | Revealing differentially expressed genes using nonlinear... |

HSIC | Hilbert-Schmidt Independence Criteria (HSIC) |

label.MARS | Label vector of MARS-Seq containing four different cell... |

Marioni | Marioni's dataset |

MARS | Count data of MARS-Seq containing four different cell types. |

result.dmap.MARS | The result of Diffusion Map against MARS-Seq data |

result.pca.MARS | The result of PCA against MARS-Seq data |

result.tsne.MARS | The result of tsne against MARS-Seq data |

simulateDropoutCounts | Generate simulation data from negative binomial (NB)... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.