Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Systems biology
Network and machine-learning models link omics profiles to cancer phenotypes
Graph, network, and sparse-learning models now map multi-omics and single-cell profiles onto survival, metabolic, and drug-response phenotypes in cancer.
6 preprints · 8 published · ↑ 3.2× vs 4-wk avg
Rank 2 Tools & infrastructure
Packaged software makes curated omics and neuroimaging data analysis-ready
Processed and curated datasets are now distributed as R, Python, and Shiny tools that pair standardized metadata with analysis layers.
4 preprints · 2 published · ↑ 2.4× vs 4-wk avg
Rank 3 Systems biology
Continuum and agent models link cell-scale traits to bacterial population outcomes
Recent preprints and a published study use multiscale models to connect bacterial competition, range expansion, and antibiotic or phage treatment to…
3 preprints · 1 published · ↑ 2.3× vs 4-wk avg
Rank 4 ML / AI methods
Biomedical image deep learning: reproducible evaluation and cross-cohort generalization
Recent preprints pair open AutoML tooling and new datasets with challenge results showing top methods degrade on unseen cohorts.
4 preprints · ↑ 2.3× vs 4-wk avg
Rank 5 ML / AI methods
Machine learning models predict drug synergy, perturbation and cell-line responses
Recent preprints and publications benchmark encodings and uncertainty methods for predicting drug, cell, and gene perturbation responses.
5 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 6 Imaging-based readouts resolve per-cell state and gene function in pooled screens↑ 1.9×Single-cellRank 7 Simulations tie nucleic acid binding to surface charge and sequence features↑ 1.9×Structural bio & protein designRank 8 Parameter-traceable simulation links neuronal, stimulation, and brain-scale dynamics↑ 1.9×Systems biologyRank 9 Sampling bias and population structure distort ML antimicrobial resistance prediction↑ 1.6×ML / AI methodsRank 10 Learned models score and propose ligands and fragments against defined protein targets↑ 1.5×Structural bio & protein designRank 11 Comparative genomics links gene content to defense, metal uptake and lifestyleGenomicsRank 12 Histology anchors multimodal omics integration across spatial and single-cell dataSingle-cellRank 13 Reference standards and T2T assemblies sharpen variant detection accuracyGenomicsRank 14 Single-cell and spatial profiling maps cell heterogeneity in embryo, bladder, and arterySingle-cellRank 15 Biological sequence foundation models add pruning, tokenization and substructure priorsML / AI methodsRank 16 Open-source tools for plate design, impedance analysis, and metabolic modelingTools & infrastructureRank 17 Geometric models link epithelial shape and cell mechanics to multicellular behaviorSystems biologyRank 18 Graph models encode relational topology in spatial, glycan and drug-target dataML / AI methodsRank 19 Benchmarking gene selection and transfer methods for single-cell and spatial omicsSingle-cellRank 20 Computational sampling of disordered, multistate and membrane-embedded protein statesStructural bio & protein design
Show 17 more
Rank 21 Excitatory-inhibitory models probe avalanche scaling and multistability in neural dynamicsSystems biologyRank 22 Chromosome-level assemblies tie genome architecture to biosynthetic gene contentGenomicsRank 23 Admixture and structural variation shape complex-trait genetic architectureGenomicsRank 24 Held-out benchmarks and integrated predictors for biological sequence annotationML / AI methodsRank 25 RNA-seq reads reveal cryptic and naturally variable exon splicing in human tissuesTranscriptomicsRank 26 ML places active learning and computational selection inside experimental design loopsML / AI methodsRank 27 Mechanistic and latent-state models infer hidden treatment response dynamicsML / AI methodsRank 28 Explicit Markov state models recast Boolean and promoter regulatory dynamicsSystems biologyRank 29 Host diversion and spillover risk shape arbovirus and pandemic transmission modelingSystems biologyRank 30 Ensemble and electronic-structure criteria are being used to validate structural modelsStructural bio & protein designRank 31 Learned models read RNA modifications and structure from single-molecule nanopore dataTranscriptomicsRank 32 Coupling learned models to traceable biomedical evidence for omics and literature analysisTools & infrastructureRank 33 Spatial indexing and GPU kernels speed structural comparison and sequence alignmentTools & infrastructureRank 34 Resolving proteoforms and glycan structures from bottom-up mass spectrometry dataProteomicsRank 35 Correcting platform heterogeneity in methylation and genotype data before inferenceEpigenomicsRank 36 Integrating contact mapping, RNA association and binding order in regulatory chromatinEpigenomicsRank 37 Learned models guide virtual screening of kinase, viral helicase, and PLK2 inhibitorsStructural bio & protein design