Brian S. White

This study uses high-resolution spatial transcriptomics to map fibroblast and neuroimmune microenvironments in endometriosis lesions, identifying spatial cellular interactions linked to pain.

Enhlink infers enhancer-promoter linkages using scATAC-seq data and outperforms existing methods, revealing a super-enhancer regulating striatal neuron markers.

The paper evaluates deconvolution methods for inferring immune infiltration from bulk gene expression using a DREAM Challenge, finding that some community-contributed methods, especially deep learning-based ones, perform well.

The paper presents a pan-cancer PDX histology image repository with genomic and pathological annotations for deep learning analysis of tumor regions and xenograft-transplant lymphoproliferative disorder prediction.

The paper discusses computational challenges in analyzing multiplexed imaging data and outlines community-driven approaches to address them through workshops and hackathons.

This paper introduces 'mones' as interpretable CNN features from H&E images that correlate with biological phenotypes and can accurately classify tumors and normals.