DESCRIPTION

Package: scMetric
Type: Package
Title: Metric learning and visualization for single cell RNA-seq data 
Version: 1.0.1
Author: Wenchang Chen
Maintainer: Wenchang Chen <chenwc17@mails.tsinghua.edu.cn>
Description: We developed the package scMetric to apply ITML algorithm on gene expression data. The package let users to assign a few pairs of cells that are similar with each other and assign a few pairs of dissimilar cells. With this weak training information, scMetric learns the metric A to best preserve the similarity and dissimilarity reflected in the training pairs. It then employs t-SNE to visualize the data using this metric. The package also outputs the t-SNE map using the conventional Euclidean distance metric. The learned metric A as well as the key genes that compose most weights in the metric can also be output to other analysis methods that need a distance or similarity metric.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.3)
RoxygenNote: 6.1.1