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Today's best preprints, by signal score.

all 66 method development 14 discovery 5 resource 1 biomedical 15

66 in the window; the type tabs sum to fewer — some papers are unclassified.

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SPARK: Bayesian structure learning of enhancer-based gene regulatory networks from single-cell multiomics data and prior knowledge

1d · Masaki, N., Acharya, S., Malysheva, V., et al. · biorxiv

method development benchmarked top 9% noveltop 5% open

Surfaced because: benchmarked against baselines.

scTGCL: A Transformer-Based Graph Contrastive Learning Approach for Efficiently Clustering Single-Cell RNA-seq Data

1d · Khan, M. S. A., Kabir, M. H., Faisal, M. M. · biorxiv

method development code benchmarked top 1% open

Surfaced because: open code, benchmarked against baselines.

flodl-bio: First Rust data, transformers and model layer for entire deep learning on biological sequences

1d · Sablok, G., de Stefanis, F. · biorxiv

method development code benchmarked top 1% open

Surfaced because: open code, benchmarked against baselines.

Mapping bioimage-analysis software adoption in microscopy

1d · Shakespeare, T., Saraiva, B. M., Cunha, I., et al. · biorxiv

method development top 3% novel

Surfaced because: matches the platform's topic region.

Exhaustive white blood cell extraction and profiling across whole-slide images of blood and bone marrow smears

1d · Deutges, M., Ghete, T., Namsaraeva, A., et al. · medrxiv

method development

Surfaced because: matches the platform's topic region.

Cytoplasmic genomes change allelic expression bias in plant seeds independently of parental imprinting: evidence for cytonuclear regulatory epistasis in Arabidopsis thaliana

1d · McKeown, P. C., Motienoparvar, P., Lai, L., et al. · biorxiv

method development

Surfaced because: matches the platform's topic region.

Chromosome-scale nuclear and mitochondrial genome assemblies reveal extreme genome compartmentalization in the hazelnut pathogen Anisogramma anomala

1d · Zaccaron, A. Z., Sondreli, K. L., LeBoldus, J. M., et al. · biorxiv

method development

Surfaced because: matches the platform's topic region.

Predicting Protein-Protein Interactions Using Vectorized Sequence Descriptors and Machine Learning Classifiers

1d · Bhat, R., Kumari, V., Kaira, V. S., et al. · biorxiv

method development benchmarked top 5% open

Surfaced because: benchmarked against baselines.

Interpreting Short Tandem Repeat Variations with Plant Genomic Foundation Models in Olive

1d · Xia, F., Pakdel, M. H., Mazinani, M. H., et al. · biorxiv

method development

Surfaced because: matches the platform's topic region.

RFind-sc maps single cells onto biological axes defined by external gene signatures

1d · Murano, T., Miyakawa, T. · biorxiv

method development

Surfaced because: matches the platform's topic region.

Characterization of heterogeneous bioinformatics training needs in the AI era

1d · van Geest, G., Di Cola, V., Zahn, M., et al. · biorxiv

method development

Surfaced because: matches the platform's topic region.

Prediction transfer does not imply reliability transfer in single-cell foundation models

1d · Park, H. J., Sriram, A., Luo, T., et al. · biorxiv

method development

Surfaced because: matches the platform's topic region.

Building computational benchmarks: an Omnibenchmark reimplementation of a single-cell preprocessing pipeline evaluation

1d · Choudhury, A., Kitak, T., Carrillo, B., et al. · biorxiv

method development benchmarked top 5% open

Surfaced because: benchmarked against baselines.

An evidence-governed agent harness for spatial transcriptomics prioritizes ICAM-1 as a target in lung fibrosis

1d · Jung, J., Parimon, T., Moore, J. H., et al. · biorxiv

method development benchmarked top 5% open

Surfaced because: benchmarked against baselines.