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.
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Updated
May 16, 2019 - R
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.
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/)
Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
Visualising single-cell trajectories, including comparisons between two models 📈
A common data format and inference environment for single-cell trajectories 📦
Selecting the optimal trajectory inference based on a given dataset and user input 🔮
A collection of 50+ trajectory inference methods within a common interface 📥📤
Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕
Comparison of methods for trajectory inference on single-cell data 🥇
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