There are 2 repositories under trajectory-inference topic.
Comparison of methods for trajectory inference on single-cell data 🥇
A collection of 50+ trajectory inference methods within a common interface 📥📤
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
Selecting the optimal trajectory inference based on a given dataset and user input 🔮
Module 4 for HKU Single-cell Workshop
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Inferring cellular trajectories from scRNA-seq using Pseudocell Tracer
Links to interesting courses, tutorials, papers, software etc. related to single-cell omics data analysis
Mirror of the Bioconductor package CellTrails (http://bioconductor.org/packages/CellTrails/)
Estimate space-time fractional diffusion equation from data
A bioinformatics web app for single cell RNA seq analysis.
Trajectory inference method. It can decompose complex cell trajectories into interpretable transcriptional branching Gaussian processes.
A model-based, unsupervised manifold learning method that factors complex cellular trajectories into interpretable bifurcating Gaussian processes of transcription.
Continuous & collaborative benchmarking of single-cell trajectory differential expression methods
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.
A docker container for scFates, mainly for cell trajectory inference analysis of single cell RNA-seq data