Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Learned models transfer structure across single-cell, bulk, and patient omics domains
Few-shot and multimodal transfer methods now carry cell-line, bulk, and single-cell structure into patient tumor and survival prediction settings.
8 preprints · 3 published · ↑ 3.7× vs 4-wk avg
Rank 2 Single-cell
Quantifying somatic and mosaic variation in single cells and long-read genomes
Recent preprints extend somatic and mosaic quantification to single-cell panels, tandem repeats, and mitochondrial mutational load.
7 preprints · 1 published · ↑ 2.9× vs 4-wk avg
Rank 3 ML / AI methods
Pretrained sequence models underpin binding, variant, and function prediction tasks
Recent preprints and publications pair protein language model embeddings with task-specific architectures for binding, variant, and RNA site prediction.
5 preprints · 6 published · ↑ 2.3× vs 4-wk avg
Rank 4 Transcriptomics
Software tools advance spatial, single-cell, eCLIP, and enhancer RNA transcriptomics
New R, Python, and Nextflow tools address normalization, integration, and allele-specific analysis in transcriptomic and epigenomic data.
5 preprints · 3 published · ↑ 2.3× vs 4-wk avg
Rank 5 ML / AI methods
Sequence-trained models are being tested for RNA structure, regulation, and design tasks
Fair-split benchmarking shows limited generalization while new RNA foundation and regulatory models expand the field.
6 preprints · 2 published · ↑ 2.2× vs 4-wk avg
Rank 6 Sequence records expose mobile element dynamics and anti-phage defense exchange↑ 2.1×GenomicsRank 7 Process-level timing, migration, and trait architecture set evolutionary outcomes↑ 2.0×Systems biologyRank 8 Protein language model embeddings paired with structural and network context across…↑ 1.9×ML / AI methodsRank 9 Orthogonal evidence and pangenomes are testing eukaryotic gene models and variation↑ 1.9×GenomicsRank 10 Computational tools for viral genome inference, annotation and host prediction↑ 1.7×GenomicsRank 11 Frameworks rank causal genes and regulators from chromatin and variant evidence↑ 1.7×EpigenomicsRank 12 Molecular representations gaining biological, multimodal, and uncertainty-aware components↑ 1.7×ML / AI methodsRank 13 Context-specific metabolic models built from flux, topology and omics data↑ 1.6×Systems biologyRank 14 Deep models rank drug and target candidates from transcriptomic and genetic inputs↑ 1.6×Structural bio & protein designRank 15 Computational methods map spatial niches and gene programs from spatial transcriptomics↑ 1.5×TranscriptomicsRank 16 Technical noise and dropout constrain inference from single-cell RNA count data↑ 1.6×Single-cellRank 17 Integrative modeling resolves allosteric and conformational states in protein assembliesStructural bio & protein designRank 18 Compression, GPU variant annotation and nanopore error correction for sequencing dataTools & infrastructureRank 19 Latent and generative models reformulate protein design and molecular dynamics samplingStructural bio & protein designRank 20 Generative models propose sequences that are scored and carried into experimental designStructural bio & protein design
Show 20 more
Rank 21 Latent models infer cell dynamics, perturbation responses, and directed transitionsSingle-cellRank 22 Calibrated uncertainty for biological models under noise and distribution shiftML / AI methodsRank 23 Knowledge graphs from curated and mined biology enable interpretable predictionSystems biologyRank 24 Multiobjective protein design gains inference-time alignment and closed-loop feedbackStructural bio & protein designRank 25 Language-model agents now execute reproducible single-cell and multi-omics analysesML / AI methodsRank 26 Computational recovery of 3D tissue and genome architecture from sparse or serial dataTranscriptomicsRank 27 Local ancestry dosages and stability criteria refine genotype-based inferenceGenomicsRank 28 Shared latent models pool information across individuals, species, and single cellsSingle-cellRank 29 Context-resolved modelling of chromatin loops, regulatory elements and HDAC complexesEpigenomicsRank 30 Ensemble simulations resolve ion- and confinement-dependent nucleic acid conformationsEpigenomicsRank 31 Sequence-only and structure-guided AI models design and score protein bindersStructural bio & protein designRank 32 Computational readouts of calcium transients and FLIM lifetime artifacts in microscopySingle-cellRank 33 Graph-level diversity and homology formalized for pangenome structureGenomicsRank 34 Metapopulation models link mobility structure to surveillance and transmission dynamicsSystems biologyRank 35 Cell-type eQTLs in human brain link non-coding genetic variation to disease-linked cellsSingle-cellRank 36 Higher-order and phase-based couplings characterize brain network structureSystems biologyRank 37 Interactive tools for remote microscopy, protein structure, and single-cell data displayTools & infrastructureRank 38 Electrostatic and binding landscapes used to validate structural and simulation modelsStructural bio & protein designRank 39 Coupling image and expression latent spaces for transcriptomic prediction and mappingML / AI methodsRank 40 Atomistic and integrative modelling of glycans, GAGs and collagen crosslinksStructural bio & protein design