trajectory-inference

There are 30 repositories under trajectory-inference topic.

  • dynverse/dynbenchmark

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

    Language:R190161339
  • dynverse/dyno

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

    Language:R163812232
  • dynverse/dynmethods

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

    Language:R1141010526
  • ShobiStassen/VIA

    trajectory inference

    Language:Jupyter Notebook7634720
  • yulinliu101/DeepTP

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

    Language:Jupyter Notebook736726
  • dynverse/dynplot

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

    Language:R292315
  • jaydu1/VITAE

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

    Language:Jupyter Notebook26648
  • pientist/ballradar

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

    Language:Jupyter Notebook17502
  • dynverse/dynguidelines

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

    Language:R162297
  • dynverse/dynwrap

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

    Language:R147547
  • xinglab-ai/genomap

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

    Language:Python12412
  • StatBiomed/SingleCell-Workshop-2021

    Module 4 for HKU Single-cell Workshop

    Language:HTML114014
  • aron0093/cytopath

    Simulation based inference of differentiation trajectories from RNA velocity fields.

    Language:Python10134
  • jr-leary7/scLANE

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

    Language:R72802
  • akds/Pseudocell-Tracer

    Inferring cellular trajectories from scRNA-seq using Pseudocell Tracer

    Language:Jupyter Notebook5300
  • pdmoerland/SingleCellNotes

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

  • zdong1/CDC

    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.

    Language:R5300
  • dcellwanger/CellTrails

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

    Language:R3222
  • euxhenh/Truffle

    Trajectory Inference of clinical data via Multi-commodity Flow

    Language:Jupyter Notebook3200
  • gaurav71531/fractDiffusion

    Estimate space-time fractional diffusion equation from data

    Language:Jupyter Notebook3110
  • CostaLab/phlower

    Use hodge decomposition for trajectory analysis

    Language:Python20
  • DaminK/GraphOTy

    A Graph Optimal Transport Python Package

    Language:Python1100
  • Nuwa

    Nuwa-genomics/Nuwa

    A bioinformatics web app for single cell RNA seq analysis.

    Language:Python1101
  • renjun0324/MGPfact.jl

    Trajectory inference method. It can decompose complex cell trajectories into interpretable transcriptional branching Gaussian processes.

    Language:Julia1100
  • renjun0324/MGPfactR

    A model-based, unsupervised manifold learning method that factors complex cellular trajectories into interpretable bifurcating Gaussian processes of transcription.

    Language:R1100
  • komparo/tde

    Continuous & collaborative benchmarking of single-cell trajectory differential expression methods

    Language:R0270
  • MHussainy/proteo

    Pseudotime analysis of OR expression during OSN differentiation

    00
  • renjun0324/ti_dbcti

    A docker container for dbcti, mainly for cell trajectory inference analysis of single cell RNA-seq data

    Language:R0100
  • renjun0324/ti_mgpfact

    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.

    Language:R00
  • renjun0324/ti_scfates_tree

    A docker container for scFates, mainly for cell trajectory inference analysis of single cell RNA-seq data

    Language:Python0100