In dynverse/dyneval: Evaluating trajectory inference methods

knitr::opts_chunk$set(warning = FALSE, message = FALSE, error = FALSE, echo = FALSE)

library(tidyverse)
library(dyneval)

ℹ️ Tutorials     ℹ️ Reference documentation

Metrics to compare two trajectories

This R package implements several metrics for comparing two single-cell trajectories.

These include:

• Specific metrics, metrics which look at the similarity of a specific part of the trajectory, such as the topology or the cellular ordering

metrics %>% 
  filter(type == "specific") %>%
  select(Name = html, `Long name`= long_name, Category = category) %>% 
  knitr::kable()

• Application metrics, which assess the accuracy of some downstream analyses of trajectories

metrics %>% 
  filter(type == "application") %>%
  select(Name = html, `Long name`= long_name) %>% 
  knitr::kable()

• Overall metrics, which combine several specific and/or application metrics to analyse the overall similarity of two trajectories

metrics %>% 
  filter(type == "overall") %>%
  select(Name = html, `Long name`= long_name) %>% 
  knitr::kable()

Latest changes

Check out news(package = "dyneval") or NEWS.md for a full list of changes.

dynutils::update_news()
cat(dynutils::recent_news())

Dynverse dependencies

dynverse/dyneval documentation built on May 25, 2019, 4:25 p.m.