Aya F Ozaki, Sari Nakagawa, Cynthia A Jackevicius
Cross-cultural Comparison of Pharmacy Students' Attitudes, Knowledge, Practice, and Barriers Regarding Evidence-based Medicine
American journal of pharmaceutical education
recent advancements spatial transcriptomics st technologies offer unprecedented opportunities unveil spatial heterogeneity gene expression cell states within tissues despite capabilities st data accurately dissecting spatiotemporal structures eg spatial domains temporal trajectories functional interactions remains challenging introduce computational framework pearlst partial differential equation pdeenhanced adversarial graph autoencoder st accurate inference spatiotemporal structures st data using pdeenhanced adversarial graph autoencoder pearlst employs contrastive learning extract histological image features integrates pdebased diffusion model enhance characterization spatial features domain boundaries learns latent lowdimensional embeddings via wasserstein adversarial regularized graph autoencoders comparative analyses across multiple st datasets varying resolutions demonstrate pearlst outperforms existing methods spatial clustering trajectory inference pseudotime analysis furthermore pearlst elucidates functional regulations latent features linking intercellular ligandreceptor interactions contributing genes lowdimensional embeddings illustrated human breast cancer dataset overall pearlst proves powerful tool extracting interpretable latent features dissecting intricate spatiotemporal structures st data across various biological contexts