Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics

no code implementations • 4 Jan 2024 • Parisa Boodaghi Malidarreh, Biraaj Rout, Mohammad Sadegh Nasr, Priyanshi Borad, Jillur Rahman Saurav, Jai Prakash Veerla, Kelli Fenelon, Theodora Koromila, Jacob M. Luber

In this paper, we introduce a pipeline based on Random Forest Regression to predict the future distribution of cells that are expressed by the Sog-D gene (active cells) in both the Anterior to posterior (AP) and the Dorsal to Ventral (DV) axis of the Drosophila in embryogenesis process.

Point Processes regression +1