cell-fate

Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses

Predict RNA velocity through deep learning

Deciphering driver regulators of cell fate decisions from single-cell RNA-seq data

Entrain: Predicting Environmental Regulators of Differentiation Trajectories

Single-cell RNA velocity and cell fate trajectory inference pipeline powered by scVelo, CellRank, and AnnData. Calculates directional mRNA splicing dynamics.

scRNA-seq analysis of human pre-implantation embryo development — Pseudotime · GRN · Cell fate trajectories · R (2018)

Nervous-system tumours across the animal kingdom, read as failure modes of one developmental switch.

Single-cell fate from live-cell imaging: where identical cells take two fates, and when it becomes visible (S-BIAD2515)

Run distributed Durable Objects and Cloudflare Workers on your own infrastructure with self-hosted SQLite replication.

Interactive scRNA-seq fate mapping of human hematopoietic stem/progenitor cells using Scanpy, CellRank, GPCCA and Streamlit.

Entropy reset in a somatic cell, the way nature does between meiosis I and the first blastomeres: centriole elimination + de novo synthesis — without haploidization or crossing-over. Causality test: does changing the centriole change cell fate?

Data-driven multi-gene control for precision cell-fate engineering.