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BACKFILLED Code and industry signals are partial for backfilled days.

Rank 1

Single-cell

Single-cell and repeat-aware methods resolve regulatory layers from RNA and chromatin data

New methods quantify repeats, isoforms, and chromatin-linked programs at finer resolution, with benchmarks probing reliability and failure modes.

12 preprints · 6 published · ↑ 7.0× vs 4-wk avg
Rank 2

ML / AI methods

AI models link tissue histology and spatial profiles to clinical outcomes

Open precomputed tumor microenvironment resources and interpretable models now allow tissue-level features to be tested against clinical endpoints.

3 preprints · 6 published · ↑ 4.0× vs 4-wk avg
Rank 3

Structural bio & protein design

Diffusion and language models steer molecular generation toward structural goals

Recent papers pair condition-aware diffusion and LLM generators with RL steering for shape- and pocket-constrained molecular design.

3 preprints · 7 published · ↑ 3.3× vs 4-wk avg
Rank 4

Genomics

Long-read and assembly tools expose hidden variation in repeats, mtDNA, and Y chromosomes

Long-read sequencing and assembly methods now resolve repeat, mitochondrial, and population-level variation that reference-based pipelines leave unresolved.

4 preprints · 1 published · ↑ 2.7× vs 4-wk avg
Rank 5

Single-cell

Single-cell atlases map genetic risk and cell-type programs across human tissues

Harmonized human single-cell atlases now enable cell-type-resolved analyses of genetic risk, sex effects, and neural maturation.

3 preprints · 2 published · ↑ 2.7× vs 4-wk avg
Rank 6 Pretrained and structure-based encoders drive antibody property and interface prediction↑ 2.6×Structural bio & protein designRank 7 Computational methods recover and quantify spatial and single-cell expression data↑ 2.4×Tools & infrastructureRank 8 Simulation methods extend to cyclic peptides, non-canonical residues and polypeptoids↑ 2.4×Structural bio & protein designRank 9 Biophysical models link ion channel, noise and modulation to network firing dynamics↑ 2.1×Systems biologyRank 10 Physical and quantum-derived references inform learned models of molecular properties↑ 2.0×ML / AI methodsRank 11 Automated tools and large reprocessed MS resources standardize proteomics data handling↑ 1.9×ProteomicsRank 12 Noise, time scale and intrinsic predictability shape infectious disease dynamics↑ 2.0×Systems biologyRank 13 Conformational and protonation states govern GumK donor choice and MotAB rotation↑ 2.0×Structural bio & protein designRank 14 Dynamical models link Golgi, cohesin, and bacterial inheritance dynamics↑ 2.0×EpigenomicsRank 15 Latent models of single-cell perturbation responses and foundation model embeddings↑ 1.8×Single-cellRank 16 Computational models map protein interaction interfaces, disorder, and selection↑ 1.9×Structural bio & protein designRank 17 Protein LMs generate disordered regions; genomic LMs show limited regulatory gains↑ 1.8×ML / AI methodsRank 18 Calibrating mechanistic models of mRNA escape, ternary binding and CAR-T dynamics↑ 1.8×Systems biologyRank 19 Leakage-controlled benchmarks expose limits of ML models on biological sequence data↑ 1.8×ML / AI methodsRank 20 Design-aware statistical models for differential analysis of omics and imaging data↑ 1.6×Transcriptomics