Top 40
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ML / AI methods
Generalization of learned models to unseen transcriptional perturbation responses
Foundation and compact models are being tested on unseen perturbations and zero-shot settings, probing whether learned representations transfer to…
Transcriptomics
Computational methods predict spatial expression from H&E and annotate single-cell data
Recent preprints and papers pair H&E histology with transcriptomic and proteomic data to predict in-situ single-cell expression and tissue domains.
Single-cell
Single-cell computational tools resolve cell states, trajectories and communication
Recent preprints and publications introduce single-cell methods for trajectory uncertainty, spatial communication, rare-cell detection, and burst inference.
Genomics
Pangenome analyses reveal accessory genome plasticity across pathogenic microbial genera
Large genome collections now enable pangenome-scale dissection of virulence, effector repertoires, and mobile elements in plant and human pathogens.
Proteomics
Reference materials and new algorithms benchmark omics analysis methods across platforms
Recent 2026 preprints and publications introduce benchmarked tools for normalising, imputing, and annotating omics data.