Statistical mechanics models for cell differentiation

Precise modeling of cell differentiation based on single-cell RNA sequencing is a delicate matter. We invite you to our next webinar on this topic, during which we will review the theoretical background and concepts of statistical mechanics in single-cell biology. In the second part, we will show a tutorial on modeling the differentiation potency of cells using R.
We will be touching the top-down methods (Waddington-OT, PBA, etc.), bottom-up methods (SCENT, SLICE, etc.), and hybrid methods (scEpath, CytoTRACE) of the cell differentiation modeling.

Code and slides:

Timing:
00:00 - Introduction (Vladyslav Kavaka)
03:03 - Statistical mechanics models (Valeriia Vasylieva)
10:07 - Top-down methods: PBA and Waddington-OT (Ihor Arefiev)
28:34 - Bottom-up methods: SCENT and SLICE (Valeriia Vasylieva)
34:06 - Bottom-up methods: RaceID2 and StemID (Ihor Arefiev)
45:04 - "Hybrid" methods: ScEpath and CytoTRACE (Ihor Arefiev)
50:38 - Final note (Valeriia Vasylieva)

[alf]

Thank you for such interesting lecture
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