Elena Pareja-Lorente

The paper adapts a pre-trained biological foundation model to learn perturbation-centric representations by fine-tuning it on perturbation profiles, improving classification and uncovering new biological relationships.

This study assesses how spatial microenvironments influence gene expression and cell-cell communication using scRNA-seq and spatial transcriptomics, finding limited transcriptional changes and weak correlation between communication predictions and spatial colocalization.

The paper introduces a protocol to integrate diverse bioactivity data into the Chemical Checker compound universe, enabling the generation of novel bioactivity signatures for small molecules.