Andràs Páldi

This paper introduces GIFT, a method that enables accurate genetic association analysis in small datasets, identifying loci linked to height at withers in ponies and validating a hypothesis about insulin physiology.

This paper compares Genomic Informational Field Theory (GIFT) to GWAS in genotype-phenotype mapping, showing GIFT provides greater investigative power by overcoming limitations of category-based data grouping.

The paper uses CALISTA to reconstruct transcriptional uncertainty landscapes from single-cell data, revealing universal patterns in cell differentiation trajectories.