Brandon J. Manley

The paper introduces multiScaleAC, a method to analyze cell-cell interactions across spatial scales using a modified Moran's I with varying kernel bandwidths, showing improved statistical power and reduced bias.

The paper introduces nanoASM, a method for allele-specific methylation analysis using long-read sequencing, identifying functional noncoding variants in prostate cancer.

The paper provides exact analytical solutions for the mean and variance of the Nearest Neighbor G(r) spatial metric under complete spatial randomness, avoiding computationally expensive permutations.

scSpatialSIM simulates spatial single-cell molecular data to evaluate spatial clustering methods, finding Ripleys K(r) best detects clustering across scenarios.

The paper uses spatial transcriptomics to identify increased spatial coupling of integrin and collagen IV in immunoresistant clear cell renal cell carcinoma tumors, suggesting integrin as a therapeutic target.

This study combines miRNA markers and MRI radiomics to improve detection of aggressive prostate cancer, achieving higher AUC values than either method alone.

This study identifies 5hmC-based gene set activity scores in cfDNA as biomarkers for early detection of ADT resistance in prostate cancer.