Aaditya V. Rangan

CryoLike evaluates image-to-structure likelihoods for cryo-EM data using Fourier-Bessel representations to improve computational efficiency.

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

This paper introduces a new statistical metric, 2DTM p-value, to improve target detection in cryo-EM by combining SNR and z-score, showing better performance for complex targets.

The paper introduces a method to detect boolean asymmetric relationships in gene expression data, identifying heterogeneity driven by asymmetric gene interactions and showing improved classifier performance.

The paper identifies genetic subtypes of Alzheimer's disease using PCA and biclustering, finding two disease-specific genetic signatures associated with cognitive decline and pathological markers.

This paper analyzes 25-year longitudinal blood biomarker data from dolphins to identify age-related interactions and biological variation, showing significant directed interactions and correlated variation between biomarkers.