Hamed Haselimashhadi

The paper introduces a consensus score method to combine statistical results from multiple resources and applies it to detect sexual dimorphism in haematological data from the IMPC.

OpenStats improves speed and scalability for high-throughput phenotypic data analysis, showing significant performance gains in the International Mouse Phenotyping Consortium.

The paper integrates gene essentiality data from human and mouse screens to classify genes into FUSIL categories, identifying developmental lethal genes associated with rare diseases.

The paper introduces a method called soft windowing to improve analysis of high-throughput phenotyping data by reducing false positives and increasing significant results.