TrendBio

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Rank 1

Transcriptomics

Computational methods infer spatial and developmental dynamics from single-cell data

Generative, optimal transport and deep Gaussian process models now scale to million-cell and spatial transcriptomic datasets.

5 preprints · 4 published · ↑ 2.8× vs 4-wk avg
Rank 2

ML / AI methods

ML models predict TCR, MHC, and antibody binding while linking to assay readouts

Protein language models and interpretable learners are now being tested against pMHC, TCR, and antibody experimental data.

4 preprints · 2 published · ↑ 2.4× vs 4-wk avg
Rank 3

ML / AI methods

LLM agents and constrained annotation anchor spatial omics analysis to expert knowledge

Recent items pair LLM agents, foundation models and curated marker or pathway knowledge with spatial and single-cell omics analysis.

8 preprints · 4 published · ↑ 2.4× vs 4-wk avg
Rank 4

Single-cell

Statistical models for calibrated inference in single-cell and spatial omics data

Recent preprints and papers address calibration, spatial dependence, and error structure in single-cell and spatial omics inference.

5 preprints · 3 published · ↑ 2.0× vs 4-wk avg
Rank 5

Systems biology

Mechanistic models link reproduction numbers, contact structure and heterogeneity

1 preprint · 2 published · ↑ 1.6× vs 4-wk avg