Skip to content
Atlas of Computational Cell Reprogramming
L0 · Target-feature discovery

Inverse design fidelity

Level 0 · Target-feature discovery

Uses the target state to identify characteristic factors or features; no source-to-target intervention model.

The level's compact mathematical form.

Methods at this level

5 methods

Sorted by publication year, oldest first.

D'Alessio et al. · 2015 · Stem Cell Reports

Classical Level 0 exemplar. Identifies TFs specifically enriched in a target cell type against a broad background of other lineages.

T
No code Repro 0/4

Okawa S et al. · 2019 · Nucleic acids research

Advances in single-cell RNA-sequencing techniques reveal the existence of distinct cell subpopulations.

T
Code Repro 3/4 FAIR 0/5

Ribeiro MM et al. · 2020 · Stem cells translational medicine

Generation of desired cell types by cell conversion remains a challenge.

D T
Code Repro 4/4 FAIR 0/5

Appleton E et al. · 2025 · Cell reports

The creation of induced pluripotent stem cells (iPSCs) has enabled scientists to explore the function, mechanisms, and differentiation processes of many types of cells.

D
Code Repro 3/4 FAIR 0/5

Kurochkin I et al. · 2026 · Cell systems

Direct reprogramming of immune cells holds promise for immunotherapy but is constrained by limited knowledge of transcription factor (TF) networks.

T
No code Repro 4/4 FAIR 3/5

Other levels