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BACKFILLED Code and industry signals are partial for backfilled days.

Rank 1

Transcriptomics

Computational frameworks for spatial and single-cell transcriptomic inference and…

Recent benchmarks and frameworks evaluate spatial domain, gene, and cell-type inference, adding calibrated uncertainty and multimodal integration to spatial…

5 preprints · 11 published · ↑ 2.4× vs 4-wk avg
Rank 2

ML / AI methods

Genomic and RNA language models are benchmarked on what their embeddings encode

Foundation models for DNA, RNA, and protein sequence are now probed for what their learned representations encode, beyond raw predictive accuracy.

2 preprints · 13 published · ↑ 2.3× vs 4-wk avg
Rank 3

Structural bio & protein design

Learned scoring of predicted structures for TCR, antibody, and small-molecule binding

Predicted complex structures are increasingly scored by learned models, but confidence metrics often fail to separate cognate from decoy binding.

4 preprints · 7 published · ↑ 1.8× vs 4-wk avg
Rank 4

Systems biology

Network and protocol-aware methods sharpen transcriptomic inference and benchmarking

Recent items benchmark gene regulatory and single-cell methods, exposing protocol-dependent bias and ranking instability under varied evaluation designs.

5 preprints · 6 published · ↑ 1.8× vs 4-wk avg
Rank 5

ML / AI methods

Deep models for drug properties tested for leakage and grounded interpretability

Recent work asks whether learned predictions reflect genuine molecular interaction and whether interpretability rests on independent evidence.

2 preprints · 9 published · ↑ 1.8× vs 4-wk avg
Rank 6 Graph-based models advance spatial and single-cell transcriptomic inference↑ 1.6×TranscriptomicsRank 7 ML models infer copy number alterations and tumor-derived reads from sequencing and…↑ 1.5×ML / AI methodsRank 8 Sparse autoencoders and generative models probe single-cell and spatial transcriptomics↑ 1.5×ML / AI methodsRank 9 Attention models fuse heterogeneous inputs to score drug and peptide associationsML / AI methodsRank 10 Models predict chromatin loops, TF occupancy and noncoding regulatory variant effectsEpigenomicsRank 11 Learned models infer 3D chromatin and transcription organization from single-cell dataEpigenomicsRank 12 Methods infer cell-level and spatially coherent structure from spatial transcriptomicsTranscriptomicsRank 13 Comparative genomics links genome architecture and repeats to adaptation and divergenceGenomicsRank 14 Association and prediction methods extended across populations, priors and omics layersGenomicsRank 15 Single-cell references refine deconvolution, annotation and perturbation modelingSingle-cellRank 16 Software frameworks for population genetics, selection scans, and joint variant callingTools & infrastructureRank 17 Evaluating variant callers and genotypers against specific error classesGenomicsRank 18 Structure-informed protein models span ligand binding, enzyme design, and PTM predictionStructural bio & protein designRank 19 Machine learning and docking methods predict protein, RNA and ligand interactionsStructural bio & protein designRank 20 Generative models design functional NRPS domains and antimicrobial peptidesStructural bio & protein design
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Rank 21 Sequence-structure embeddings guide peptide and receptor-binding prediction and designStructural bio & protein designRank 22 Computational inference of microbial function and interactions from community dataGenomicsRank 23 Knowledge graphs rank candidate targets and annotate mechanistic pathwaysML / AI methodsRank 24 Auditing attribution, synthetic data and causal selection in omics ML modelsML / AI methodsRank 25 Computational tools infer microbial identity from spectra and sequence dataTools & infrastructureRank 26 Learned sequence predictors face stricter confidence, baseline and negative-set checksML / AI methodsRank 27 LLM agents constrained to versioned tools and schemas for single-cell analysisTools & infrastructureRank 28 ML methods for RNA, protein, and peptide design and interface scoringStructural bio & protein designRank 29 Graph transformers encode protein pockets and ligands in shared 3D latent spacesStructural bio & protein designRank 30 Physics-based simulation tractable for costly biomolecular preparation and samplingStructural bio & protein designRank 31 Genomic and ancient-protein data refine hominid and carnivore evolutionary historiesGenomicsRank 32 Replication delays, compartmentalization, and aging models reveal threshold dynamicsSystems biologyRank 33 Models of macrophage reprogramming and chemotherapy scheduling in breast tumor dynamicsSystems biologyRank 34 Variable-scale descriptors of genome composition, sequence k-mers and telomere lengthGenomicsRank 35 Sequence constraints shape proto-gene origins and paralog divergenceGenomicsRank 36 Short reads now resolve strain genotypes and phylogenies with benchmarked softwareGenomicsRank 37 GPU and algorithmic reformulation scale single-cell, microbiome and metagenomic analysesTools & infrastructureRank 38 Regional methylation and regulatory atlases link Alzheimer tau to oligodendrocyte programsEpigenomicsRank 39 Latent models separate behavior-linked dynamics from internal neural computationSystems biologyRank 40 Topological and morphometric descriptors quantify biological structure and remodelingSystems biology