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The paper shows that mutational robustness correlates with protein dynamics across natural and designed proteins, outperforming existing structural confidence scores.

The paper identifies TGF-β signaling as a regulator of natural killer cell function in both pregnancy and tumor progression by analyzing immune compartment dynamics in human and mouse models.

This paper evaluates covariate selection in GWAS for 36 UK-Biobank traits, proposing guidelines to improve power and reduce computational burden.

The paper defines and studies genomic block selection for polygenic traits, showing NP-completeness and proposing algorithms with complementary roles for solving the problem efficiently.

This paper predicts the utility of polygenic embryo screening for disease based on selection strategies and finds that selecting the lowest PRS embryo can significantly reduce disease risk.

The paper introduces Periscope, a deep learning method for homology-assisted contact map prediction, showing improved accuracy over MSA-only methods and complementary results to template-based structure prediction.

The paper identifies global down-regulation of proteasome subunits in a subgroup of schizophrenia patients through transcriptome sequencing and pathway analysis across multiple cohorts.

This paper evaluates the potential benefits of using polygenic scores to select embryos for traits like height and cognitive function, finding limited gains with current predictors.

This study compares gene modules in human and mouse immune cells, finding conserved transcriptional organization but divergent regulatory mechanisms.

This paper trains deep CNNs to identify enhancer sequences across species using transfer learning and adversarial training, finding shared regulatory motifs and improved classification accuracy.