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BACKFILLED Code and industry signals are partial for backfilled days.

Rank 1

Single-cell

Benchmarks and new tools for spatial and single-cell transcriptomic inference

Systematic benchmarks of spatial and single-cell methods now appear alongside new tools for boundary detection, confidence scoring, and reference mapping.

5 preprints · 16 published · ↑ 3.0× vs 4-wk avg
Rank 2

Transcriptomics

Neural networks infer regulatory and transcriptomic states from genomic context

Benchmarks and new architectures now test deep models on Hi-C, chromatin accessibility, and single-cell and spatial transcriptomics data.

2 preprints · 14 published · ↑ 2.4× vs 4-wk avg
Rank 3

Systems biology

Network, spatial and causal methods extend routine transcriptomic analysis beyond…

Transcriptomic analysis is moving beyond gene-centric differential expression toward network, spatial, and causal frameworks.

2 preprints · 12 published · ↑ 2.1× vs 4-wk avg
Rank 4

ML / AI methods

Attention models fuse heterogeneous inputs to score drug, peptide and gene associations

March 2026 publications extend attention-based fusion of sequence, graph and structural features to drug synergy, peptide toxicity and antibody neutralization.

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

Structural bio & protein design

Learned interface features predict TCR and antibody binding; ipTM often fails

Recent work benchmarks structure-predicted TCR-pMHC and antibody complexes, testing whether learned interface features truly discriminate binding.

5 preprints · 6 published · ↑ 1.8× vs 4-wk avg
Rank 6 Sparse autoencoders expose organized knowledge in single-cell foundation models↑ 1.6×ML / AI methodsRank 7 Machine learning tools for generating and ranking peptide, RNA, and protein bindersStructural bio & protein designRank 8 Deep learning infers copy number and ecDNA states from histology and sequencing dataML / AI methodsRank 9 Deep learning drug property models: leakage, interpretability, and independent evidenceStructural bio & protein designRank 10 Causal and interpretability audits of machine learning models on omics dataML / AI methodsRank 11 Method evaluation of tools detecting tandem repeats, CNVs, SVs, and assembly errorsGenomicsRank 12 Graph neural models scoring drug-disease, drug-target, and protein-ligand relationshipsML / AI methodsRank 13 Comparative genomics links genome variation to adaptation, regulation, and divergenceGenomicsRank 14 Population genomics tools unify variant I/O, selection scans, and introgression mappingTools & infrastructureRank 15 Protein language model embeddings drive interface, site and function predictionStructural bio & protein designRank 16 Benchmarks test foundation models and CNNs on histopathology and omics dataML / AI methodsRank 17 Computational tools reconstruct and align spatial transcriptomics data across scalesTranscriptomicsRank 18 Generative protein models co-design enzymes, NRPS domains, and antimicrobial peptidesStructural bio & protein designRank 19 Computational tools infer microbial relationships from proteomic and genomic dataTools & infrastructureRank 20 Association and prediction methods extend beyond single-population, single-layer settingsGenomics
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Rank 21 Wiz restricts CTCF/cohesin loop extrusion at clustered protocadherin genesEpigenomicsRank 22 Physics-based simulation of proteins, retinal isomerization and large assembliesStructural bio & protein designRank 23 LLM agents constrained by typed schemas and deterministic tools for single-cell analysisTools & infrastructureRank 24 Inferring 3D genome organization from indirect and incomplete measurementsGenomicsRank 25 Density-conditioned learning recovers particle and conformational variabilityStructural bio & protein designRank 26 Computational inference of microbial function and interactions from community dataML / AI methodsRank 27 Knowledge graphs now rank drug targets and annotate adverse outcome pathway networksTools & infrastructureRank 28 Viral Antigen Selection and Spike Constraint Shape Immune Breadth and Target ChoiceML / AI methodsRank 29 Symbolic and topological descriptors expose neural organization across scales and…Systems biologyRank 30 Computational models infer 3D chromatin and transcription kinetics from single-cell dataEpigenomicsRank 31 Models of tumor-immune dynamics and treatment scheduling in breast cancerSystems biologyRank 32 Variable-length and compositional measures recast genomic sequence analysisGenomicsRank 33 Proto-gene precursors in primates and paralog divergence in lung cancer evolutionGenomicsRank 34 Short-read tools reconstruct strain genotypes and phylogenies from sequencing dataGenomicsRank 35 GPU acceleration and sketching make megascale omics distance and classification tractableTools & infrastructureRank 36 Principled tree estimation and sampling assessment across phylogenetic inference stagesGenomicsRank 37 Cell-type and region-resolved epigenomic profiling links tau and AD drug targetsEpigenomicsRank 38 Topological and morphological descriptors quantify simulated biological structureSystems biology