Pseudotime analysis of OR expression during OSN differentiation
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Updated
Mar 12, 2022
Pseudotime analysis of OR expression during OSN differentiation
A docker container for scFates, mainly for cell trajectory inference analysis of single cell RNA-seq data
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.
Trajectory inference method. It can decompose complex cell trajectories into interpretable transcriptional branching Gaussian processes.
A Graph Optimal Transport Python Package
A bioinformatics web app for single cell RNA seq analysis.
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/)
Estimate space-time fractional diffusion equation from data
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.
Links to interesting courses, tutorials, papers, software etc. related to single-cell omics data analysis
Inferring cellular trajectories from scRNA-seq using Pseudocell Tracer
Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
Simulation based inference of differentiation trajectories from RNA velocity fields.
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Module 4 for HKU Single-cell Workshop
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