Farouk S. Nathoo

The paper assesses covariance stationarity in spatial transcriptomics and identifies spatially varying genes using non-stationary covariance models.

The paper shows that using low-dimensional temporal subspaces from fMRI data reveals distinct functional connectivity regimes that depend on cognitive state and individual identity.

SPaCeD improves heavy-light chain pairing accuracy in spatial BCR-seq by integrating expression matrices with spatial distances via optimal transport.

A-LAVA identifies germline variants affecting metabolic pathways in cancer genomes through SNP, gene, and pathway-level analysis, improving accuracy by correcting for overlapping gene sets and reducing false positives.

The paper identifies self-reactive intra-epithelial plasma cells in ovarian cancer that correlate with improved prognosis and suggest a mechanism for immune response against tumor heterogeneity.

The paper investigates the association between SNPs in Alzgene linkage regions and brain structural changes using ADNI data, identifying prioritized SNPs linked to imaging phenotypes.