New method to integrate spatial transcriptomics datasets

This latest paper we are delighted to announce comes from Jin Liu and colleagues, and describes a new method known as PRECAST that can integrate multiple spatial transcriptomics datasets from multiple tissue slides and possibly even multiple individuals.

As detailed in their Nature Communications paper, Jin Liu et al. show that PRECAST is computationally scalable and applicable to spatial transcriptomics datasets deriving from different platforms.

You can find out more about how PRECAST was developed and tested on both simulated and real datasets, here: https://lnkd.in/d7jetuK5

Well done to everyone involved in this important project – we are delighted to see it available to read online!