Top 40
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BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Computational frameworks map cell identity and organization within intact 3D tissues
Whole-body and organ-scale spatial atlases now pair with new computational tools for resolving tissue architecture and rare cell states.
7 preprints · 6 published · ↑ 4.3× vs 4-wk avg
Rank 2 Single-cell
Pathway, graph, and generative models aim to make gene-level inference interpretable
Recent preprints couple single-cell perturbation and spatial prediction with biological priors that make learned gene programs and pathways inspectable.
10 preprints · 1 published · ↑ 2.1× vs 4-wk avg
Rank 3 Genomics
Calibrating MAVE and predictor evidence against ACMG/AMP variant classification rules
Clinical evidence yield metrics and revised PM5 cut-offs are now being tested against MAVE datasets and public reference cohort data.
1 preprint · 2 published · ↑ 2.0× vs 4-wk avg
Rank 4 Tools & infrastructure
Federated and agent-orchestrated software layers for rare-disease genomic analysis
Rare-disease genomics is moving toward stepwise clinical implementation, increasing demand for federated and reproducible software layers.
1 preprint · 2 published · ↑ 2.0× vs 4-wk avg
Rank 5 ML / AI methods
Smartphone capture infers individual kinematics, kinetics, and body composition
Single smartphone captures now yield individual-level kinematics, kinetics, and body composition estimates from learned and physics-based models.
3 preprints · ↑ 2.0× vs 4-wk avg
Rank 6 Scalp EEG Measures Track Brain Network Energy, Multimodal Cognition, and Brain Age↑ 2.0×ML / AI methodsRank 7 Python and R toolkits for single-cell, spatial, and image-based profiling↑ 1.9×Tools & infrastructureRank 8 Pretrained embeddings are reused across protein, RNA, and genomic prediction tasks↑ 1.6×ML / AI methodsRank 9 Sequencing-based typing and lineage calling for pathogen genomic surveillance↑ 1.5×GenomicsRank 10 Software chains docking, MD setup, and pocket extraction around molecular structures↑ 1.6×Structural bio & protein designRank 11 Computational methods resolve cell-type and regulatory structure from RNA-seq data↑ 1.5×Single-cellRank 12 Learned models map nuclear export, protein localization, and endocytic carrier dynamics↑ 1.6×ML / AI methodsRank 13 Post-transcriptional RNA control profiled across human tissues, genomes and proteomesGenomicsRank 14 Learned protein and molecule encodings predict drug, RNA, and peptide bindingML / AI methodsRank 15 Scalable workflows and GPU basecalling for portable, high-throughput sequencing analysisTools & infrastructureRank 16 Controlled perturbations expose where phylogenetic inference becomes unreliableStructural bio & protein designRank 17 AlphaFold-based prediction of complexes and domains scales across proteomesStructural bio & protein designRank 18 Long-read tools now resolve haplotypes, repeat expansions, and mobile element insertionsGenomicsRank 19 Bacterial genome collections link strain traits to disease and epidemic evolutionGenomicsRank 20 Spaced k-mers and compressed dynamic structures for memory-efficient sequence indexingGenomics
Show 17 more
Rank 21 Preference and reinforcement learning steer generative models for biomolecular designStructural bio & protein designRank 22 Probabilistic models quantify genotype-specific drug resistance and foreign cell identityEpigenomicsRank 23 Physical priors help learned models extend structure and binder design beyond trainingStructural bio & protein designRank 24 AI-based design of binders targeting Cas9, BMPR1A and GluN1 with structural validationStructural bio & protein designRank 25 Metagenome mining and genome-wide profiling advance RNA-guided nuclease toolsTools & infrastructureRank 26 Inferring network connectivity from indirect neural and anatomical measurementsML / AI methodsRank 27 Chromosome-level assemblies resolve polyploid origins and karyotype evolution in plantsGenomicsRank 28 Graph and deep learning models predict RNA-disease associations and disease riskML / AI methodsRank 29 Annotation tool choice alters variant coverage and pathway-level genomic inferenceGenomicsRank 30 Language models and coupling analysis predict disorder, binding and mutational effectsStructural bio & protein designRank 31 Inferring single-cell dynamics from imaging and network-based filament trackingSingle-cellRank 32 Learned representations integrate multi-omics and single-cell dataML / AI methodsRank 33 Generative and latent models for DNA, single-cell expression, and molecular designSingle-cellRank 34 Protein language models and structure predictors applied to enzyme mining and designStructural bio & protein designRank 35 Constraint-based genome-scale models for yeast protein yield and hepatic energySystems biologyRank 36 Sequence language models now predict RNA modifications and ribosome profiling coverageSystems biologyRank 37 Standardizing omics measurements to resolve cross-lab and cross-condition variabilityProteomics