Jan Schleicher

The paper introduces bowside, a neural model for trajectory inference and gene regulatory network reconstruction in single-cell RNA sequencing data, showing it recovers known regulatory motifs in hematopoiesis and reprogramming.

The paper introduces tidesurf, a tool for quantifying spliced and unspliced transcripts in scRNA-seq, showing improved accuracy over velocyto for 5' chemistry data.

G-LATO infers spatial gradients using deep Gaussian processes, revealing known and novel spatial organization in liver and glioblastoma data.

This study shows that velocyto inaccurately quantifies spliced and unspliced transcripts for 5'-sequencing data, leading to incorrect velocity predictions.