A docker container for dbcti, mainly for cell trajectory inference analysis of single cell RNA-seq data
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Updated
Feb 13, 2023 - R
A docker container for dbcti, mainly for cell trajectory inference analysis of single cell RNA-seq data
The Docker container for MGPfact is primarily used for unsupervised manifold learning of single-cell RNA-seq data and can factorize complex cell trajectories into interpretable branching Gaussian processes.
Continuous & collaborative benchmarking of single-cell trajectory differential expression methods
A model-based, unsupervised manifold learning method that factors complex cellular trajectories into interpretable bifurcating Gaussian processes of transcription.
Mirror of the Bioconductor package CellTrails (http://bioconductor.org/packages/CellTrails/)
Swiss CDC Project Repository: Analyze and Predict human mobility patterns using kernel density ranking methods, and analyze the spatial-temporal trends of the activity spaces of human beings.
Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
A common data format and inference environment for single-cell trajectories ๐ฆ
Selecting the optimal trajectory inference based on a given dataset and user input ๐ฎ
Visualising single-cell trajectories, including comparisons between two models ๐
A collection of 50+ trajectory inference methods within a common interface ๐ฅ๐ค
Inferring, interpreting and visualising trajectories using a streamlined set of packages ๐ฆ
Comparison of methods for trajectory inference on single-cell data ๐ฅ
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