Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …

In single-cell RNA sequencing (scRNA-seq) data analysis, a critical challenge is to infer
hidden dynamic cellular processes from measured static cell snapshots. To tackle this …

Inferring the developmental potential of single cells from scRNA-Seq data and
reconstructing the pseudo-temporal path of cell development are fundamental but …

The utilization of single-cell trajectory inference methods to deduce cell differentiation
trajectories from single-cell transcriptomic or proteomic data holds significant importance in …

Agriculture, as one of the key drivers for human civilization, demands efficient methods for
managing the extensive domainspecific knowledge. While ontologies, structured sets of …