Yue Pan

The paper examines transcriptional changes across tissues and time after traumatic stress exposure in rats to identify intervention windows for preventing adverse neuropsychiatric outcomes.

MODE improves deconvolution by integrating multi-omic data through a multimodal autoencoder, outperforming existing methods in simulation and real data.

imply improves cell-type deconvolution by using personalized reference panels, showing reduced bias and better alignment with biological facts in real data.

The paper introduces a method for deconvolving bulk proteomes using transcriptome-proteome integration and applies it to identify cell-type-specific protein quantitative trait loci.