Simina Maria Boca

This study identifies distinct GPe neuron subtypes using mouse lines and shows their unique roles in motor behavior and anxiety-like behavior through optogenetics and machine learning.

The paper derives a relationship between heterozygosity and admixture proportions in admixed populations, showing that heterozygosity is at least as high as the least heterozygous source population.

This study identifies distinct roles of PV+ and Npas1+ neurons in the GPe for locomotion and shows differences in their synaptic inputs from the STN in Parkinson's disease.

CDGnet recommends targeted cancer therapies using a network approach that integrates biological pathway information and patient-specific molecular data.

The paper identifies Npas1+-Nkx2.1+ neurons as a distinct subclass of GPe neurons and describes their role in the cortico-pallido-cortical loop.

This study identifies disease and glucocorticoid biomarkers in a muscular dystrophy mouse model using high-resolution mass spectrometry.

The paper proposes a regression framework to estimate false discovery rates conditional on covariates and applies it to genome-wide association studies.

Deep learning rivals or beats baselines across imaging, health records, genomics and drug discovery but is not yet transformative; scarce labels, privacy and opacity remain hurdles.