Continuous & collaborative benchmarking of single-cell trajectory differential expression methods
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Updated
Nov 8, 2018 - R
Continuous & collaborative benchmarking of single-cell trajectory differential expression methods
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 deep generative model to predict aircraft actual trajectories using high dimensional weather data
Mirror of the Bioconductor package CellTrails (http://bioconductor.org/packages/CellTrails/)
Estimate space-time fractional diffusion equation from data
Selecting the optimal trajectory inference based on a given dataset and user input 🔮
Inferring cellular trajectories from scRNA-seq using Pseudocell Tracer
Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕
Module 4 for HKU Single-cell Workshop
Visualising single-cell trajectories, including comparisons between two models 📈
Pseudotime analysis of OR expression during OSN differentiation
A docker container for dbcti, mainly for cell trajectory inference analysis of single cell RNA-seq data
A docker container for scFates, mainly for cell trajectory inference analysis of single cell RNA-seq data
Links to interesting courses, tutorials, papers, software etc. related to single-cell omics data analysis
[KDD 2023] Official implementation of "Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM".
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)
Simulation based inference of differentiation trajectories from RNA velocity fields.
Comparison of methods for trajectory inference on single-cell data 🥇
A collection of 50+ trajectory inference methods within a common interface 📥📤
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