Bioinformatics & computational biology
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- Evaluating Autonomous LLM Agents Across Molecular Prediction and Optimization Benchmarks
- Evaluation of synthetic data generation for longitudinal 6-year follow-up subclinical cardiovascular disease data using GAN models
- RiboWin: A computational framework to identify non-canonical open reading frames
- Robust ORF Deconvolution from Multiple Ribo-seq Datasets with Group LASSO Penalty
- Quantifying performance inflation from hidden sample dependence in biomedical image classification benchmarks
- D-plus: Beyond the D-statistic -- Accurate Detection and Characterization of Introgression Despite Among-Lineage Rate Variation
- scStable: assessing scRNA-seq analysis stability under bulk-derived between-sample variation
- CRAIC: interactive interrogation of multiple sequence alignment uncertainty
- Limitations of Genomic Foundation Models for Decoding Regulatory Mechanisms in ALS
- Intraindividual longitudinal changes of the proteome reveal dynamic markers of biological aging
- Meta2Data: Automated data processing for large scale microbiome data re-analysis
- Identifiable inverse optimal transport for single-cell state transitions
- Can LLMs Reliably Annotate Bioassay Metadata to Improve Data Readiness?
- Multi-Scale Temporal Flows for Peptide Trajectory Generation
- Efficient Convex Optimization Methods for State-Space Heartbeat Dynamics Models with Gamma Generalized Linear Models
- ORBIT-FMIB: Tracking Order-Resolved Epistatic Information Through ESM-2
- Analysis of Quantized and Efficiently Adapted Protein Language Models
- CPathOGen: Spatially and Morphologically Controlled H&E Counterfactuals for Probing Pathology Models
- Improving scoring functions for protein-protein docking with LambdaLoss
- Pheno-GS: Phenoscape-scale Geodesic Sinkhorn
- Rapid quantitative chemical composition mapping using model-based MRI reconstruction with field inhomogeneity correction
- Disease-associated protein states accessible to 8-oxoguanine transcriptional miscoding without genomic mutation
- Multi-objective-conditioned-return-blocks decision transformer: a novel approach for multi-objective de novo drug design
- hpci improves reproducibility of computational biology research by integrating Continuous Integration with High Performance Computing clusters.
- ProDTI: prior-guided positive-unlabeled learning for robust drug-target interaction prediction.