Webdynverse is a collection of R packages aimed at supporting the trajectory inference (TI) community on multiple levels: end-users who want to apply TI on their dataset of interest, and developers who seek to easily quantify the performance of their TI method and compare it to other TI methods. Webdynwrap was used to wrap 50+ trajectory inference method within docker containers in dynmethods. The advantage of using a common model is that it allows: Comparison between a prediction and a gold standard, eg. using dyneval Comparing two predictions Easily visualise the trajectory, eg. using dynplot
GitHub - dynverse/funkyheatmap: Visualising data frames as …
WebMar 1, 2024 · dynverse/dynwrappy is here the base image, which contains the latest version of R, python, dynwrap, dyncli and most tidyverse dependencies. For R methods, you can use the dynverse/dynwrapr base. While not required, it’s recommended to start from these base images, because dyncli provides an interface to run each method using the … Webdynverse is a collection of R packages aimed at supporting the trajectory inference (TI) community on multiple levels: end-users who want to apply TI on their dataset of interest, … A set of tools supporting the development, execution, and benchmarking of … GitHub is where people build software. More than 94 million people use GitHub … GitHub is where people build software. More than 83 million people use GitHub … kanavi 爪やすり 爪磨き ガラス製
:: dynverse
WebAs the data is relatively easy, it can be used to quickly test and prototype a TI method . However, for more realistic synthetic data, check out our dyngen package. Installation Install using devtools: # install.packages ("devtools") devtools:: install_github ( … WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebTitle Common Functionality for the 'dynverse' Packages Version 1.0.11 Description Provides common functionality for the 'dynverse' packages. 'dynverse' is created to support the development, execution, and benchmarking of trajectory in-ference methods. For more information, check out . License MIT + file LICENSE aegi italiener