Driessen et al. present a conditional optimal transport method that can model the distribution shift between perturbed and unperturbed cell transcriptomes and that can generalize to unseen contexts.

𝗡𝗲𝘂𝗿𝗜𝗣𝗦 𝘀𝗽𝗼𝘁𝗹𝗶𝗴𝗵𝘁 for our work on "𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗗𝗼𝘂𝗯𝗹𝘆 𝗦𝘁𝗼𝗰𝗵𝗮𝘀𝘁𝗶𝗰 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀" 🔦 𝘊𝘢𝘯 𝘱𝘳𝘪𝘯𝘤𝘪𝘱𝘭𝘦𝘴 𝘧𝘳𝘰𝘮 𝘲𝘶𝘢𝘯𝘵𝘶𝘮 𝘤𝘰𝘮𝘱𝘶𝘵𝘪𝘯𝘨 𝘣𝘦 𝘣𝘭𝘦𝘯𝘥𝘦𝘥 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦 𝘮𝘰𝘴𝘵 𝘱𝘰𝘸𝘦𝘳𝘧𝘶𝘭 𝘔𝘓 𝘮𝘰𝘥𝘦𝘭𝘴? 🤔 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗶𝗻 #𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀: Transf...

Documentation for the paperscraper python package

Developmentally-driven computational modeling study suggests that early sensory experience shapes distinct neuronal response properties in the visual system, providing a potential account of the emerg...

Learning the response of single-cells to various treatments offers great potential to enable targeted therapies. In this context, neural optimal transport (OT) has emerged as a principled methodologic...