Comparison of methods for trajectory inference on single-cell data 🥇

Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕

A collection of 50+ trajectory inference methods within a common interface 📥📤

trajectory inference

A deep generative model to predict aircraft actual trajectories using high dimensional weather data

Visualising single-cell trajectories, including comparisons between two models 📈

Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior

[KDD 2023] Official implementation of "Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM".

Selecting the optimal trajectory inference based on a given dataset and user input 🔮

A common data format and inference environment for single-cell trajectories 📦

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

Module 4 for HKU Single-cell Workshop

Simulation based inference of differentiation trajectories from RNA velocity fields.

Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.

Links to interesting courses, tutorials, papers, software etc. related to single-cell omics data analysis

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.

Inferring cellular trajectories from scRNA-seq using Pseudocell Tracer

Trajectory Inference of clinical data via Multi-commodity Flow

Use hodge decomposition for trajectory analysis

Mirror of the Bioconductor package CellTrails (http://bioconductor.org/packages/CellTrails/)