Top 40
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Single-cell
Software and statistical tests for single-cell, spatial, and omics inference
Recent tools and preprints test method behavior and adapt established frameworks to new single-cell, spatial, and bulk omics data types.
Single-cell
Biology-aligned components decompose single-cell perturbation and transition predictions
Virtual cell and transition models are moving from black-box embeddings toward components tied to biological mechanisms.
Structural bio & protein design
Computational tools for predicting and comparing protein, RNA and complex structures
Recent preprints and bioinformatics papers report new selectors, interaction datasets, and RNA reconstruction methods for structural modeling.
ML / AI methods
Structure-derived inputs drive learned binding and affinity prediction across targets
Recent items pair 3D structure and protein language model embeddings with conformal and positive-unlabeled learning for interaction and affinity prediction.
ML / AI methods
Deep learning tools advance segmentation and morphometry of cellular microscopy images
Recent preprints and publications introduce workbenches for 3D fluorescence, brightfield, and FIB/SEM image analysis with learned and geometric methods.