Cell2fate

中文導讀

Cell2fate(Bayraktar & Stegle labs,Nat Methods 2025)用 module decomposition of realistic biophysical models of transcription dynamics 來改進 RNA velocity,屬於 biophysics-forward 那一路(跟 GennadyGorin 的 CME 立場相近)。本 wiki 目前只從 bookmark (velocity-discourse-2025-2026)收錄,paper 還沒 deep-ingest,physical-time 四軸待補。

What it is

A fully Bayesian RNA-velocity method (Aivazidis et al., Sanger/Stegle/Bayraktar, Nat Methods 2025; cell2fate-2025) that linearizes the velocity ODE to solve a richer biophysical model analytically and decomposes velocity into modules (≈ factor/PCA loadings), with posterior uncertainty used as a QC signal. Biophysics-forward — the constructive pole of velocity-skepticism, adjacent to the CME line (GennadyGorin).

Physical-time scorecard

Axis	Cell2fate
Latent time	ordinal; cell-specific timescale T_c + posterior uncertainty
Rate scale	inherited (relative); uncertainty flags where time is ill-determined
External anchor	none (snapshot + spatial mapping)
Constant rates	α relaxed via module basis functions; β, γ constant
Verdict	biophysics + Bayesian uncertainty; temporally ordinal

Related

cell2fate-2025 · RNA velocity · splicing-kinetics-ode · manifold-consistent-velocity · velocity-skepticism · GennadyGorin · scVelo · veloVI · velocity-benchmark-17studies · physical-time-grounding · velocity-discourse-2025-2026 · FlowVelo