MCB 182 Lecture 9.13 - scRNA-seq applications (trajectory inference, visualization)
MCB 182 Lecture 9.12 - Introduction to PCA (scRNA-seq)
MCB 182 Lecture 9.8 - Analysis goals of scRNA-seq
MCB 182 Lecture 9.10 - scRNA-seq experimental design, dropout noise
BIOMEX - Pseudotime analysis
Britton Sauerbrei: Neural Population Dynamics for Skilled Motor Control
How to describe, analyze and interrogate dynamics of gene regulatory networks - Tomas Gedeon
Star Sign - Slingshot Trajectory Indicator V2
Analysis of Single Particle trajectories
CellRank for directed single-cell... - Marius Lange - Special Session 05 - Talk - ISMB/ECCB 2021
Trajectory analysis and design for a Fast Kinetic Deflection Mission - GVWI
Causal Inference in Single-cell Genomics (Yongjin Park, University of British Columbia)
SCC 1. Introduction to the course. Initial instructions (04.04.21)
Representation learning of RNA velocity reveals... - Chen Qiao - MLCSB - Talk - ISMB/ECCB 2021
Day 4: HCA Latin America Single-Cell RNA-SEQ Data Analysis Workshop (Virtual)
tongue tutorial
Why R? Webinar 033 - Koen Van den Berge - Interpretation of single-cell RNA-seq trajectories
Single cell trajectory reconstruction: ideas, methods and problems
Bullet Trajectory Notes
Pseudotemporal disease trajectories from cross... - Kieran Campbell - TransMed - ISMB/ECCB 2017
