Author

D. Gfeller

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Open access Sep 2026

Revealing therapeutic single-cell transcriptomic signatures using a simple classifier.

Single-cell RNA sequencing (scRNA-seq) has become a routine tool for characterizing heterogeneous populations. Here, we present Cell-Sign, a detection algorithm that can classify cells according to drug treatments at the single-cell level. The method allows the identification of individual cells that remain hidden in c...

Xiao-Li Ma, Yu Fen Samantha Seah, D. Gfeller et al. · Cell Reports Methods · 0 citations

Open access Jul 2026

Capabilities, specificity gaps and training-data dependence of AlphaFold3 across diverse application areas

It is found that, while AF3 can perform well in favourable settings, this performance is uneven across applications and its predictions and use of confidence metrics will depend strongly on the specific application area and must be interpreted with respect to training-set overlap.

O. Follonier, Yan Liu, Pablo Campomanes et al. · bioRxiv · 1 citation