Top 40
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Single-cell
Computational inference bridges sparse spatial and single-cell measurements
Foundation-model priors and optimal transport are now paired with spatial and single-cell data to bridge sparse, unpaired, or weakly anchored measurements.
ML / AI methods
Learned models predict antibody-antigen binding from sequence and structure features
Protein language model embeddings and public repertoire data now enable sequence-only antibody affinity and specificity prediction.
Tools & infrastructure
Open tools automate quantitative measurement of cell and tissue images
Recent open-source releases automate quantification across scratch assays, 3D mitochondrial networks, vessels, and holographic images.
ML / AI methods
Benchmarks expose robustness and reproducibility gaps in biological machine learning…
Recent benchmarks and audits test whether foundation models and ML pipelines in omics hold up under distribution shift and reproducibility checks.
Tools & infrastructure
Open-source tools for reusing, subsampling and assembling sequencing reads
Recent preprints and publications release open-source tools for large sequencing datasets, from uniformly processed RNA-seq access to long-read assembly.