Jani Saarela

The paper introduces a control-independent QC method to detect spatial artefacts in drug screening experiments, improving reproducibility between technical replicates and cross-dataset correlation.

MICHA is a pipeline that FAIRifies chemosensitivity assays by automatically annotating compounds, samples, reagents, and data processing methods, enabling interoperable and reusable drug screening data.

The paper improves gene essentiality consistency between RNAi and CRISPR screens by integrating molecular features, resulting in a more accurate combined essentiality score.

The paper develops an experimental-computational pipeline for high-throughput drug combination screening and synergy scoring in cancer cells.