AIMC Journal:
bioRxiv

Showing 401 to 410 of 4935 articles

Benchmarking Graph Neural Networks for Multi-Omics Cancer Subtyping using Methylation and Gene Expression Profiles

bioRxiv Aug 25, 2026
Motivation: Graph Neural Networks (GNNs) have gained increasing interest in the biomedical domain, as the integration of prior knowledge and deep neural networks has the potential to enhance insights into molecular processes and disease mechanisms. H...
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Deep learning-mediated detection of accelerated water drinking after aquaresis in V1b vasopressin receptor knockout mice

bioRxiv Aug 25, 2026
How water intake is initiated and maintained following V2 vasopressin receptor antagonism remains poorly understood. To elucidate the role of the V1b receptor in managing dehydration stress induced by V2 antagonism, we used deep learning-based comput...
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Behavioral and brain responses to language reflect different levels of linguistic representation

bioRxiv Aug 25, 2026
Human language processing can be studied through both behavior and brain activity, yet it remains unclear whether these two data types reflect sensitivity to the same information. One influential view holds that both behavioral and neural responses a...
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BindScreen: Protein-Centric Contrastive Learning for Sequence-Based Virtual Screening

bioRxiv Aug 25, 2026
Virtual screening ranks candidate molecules against a protein target. Sequence-based deep learning avoids dockings structural requirements, but pair-based models need one forward pass per protein-molecule pair and scale poorly to large libraries. Dua...
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Benchmarking the robustness of segmentation models to corruptions in biological imaging

bioRxiv Aug 25, 2026
Deep-learning-based segmentation algorithms have gained considerable accuracy for processing biological images. In particular, the introduction of large foundation models, novel architectures, and semantically varied datasets now allows for deploymen...
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Cell type-resolved chromatin accessibility clocks for brain aging

bioRxiv Aug 25, 2026
Aging is a progressive decline in biological function that is proposed to be driven by the accumulation of epigenetic noise and the loss of epigenetic information. Among epigenetic readouts, DNA methylation has been extensively used to develop aging ...
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A mechanism-annotated benchmark reveals limited fidelity to drug-response signatures in single-cell perturbation models

bioRxiv Aug 24, 2026
Single-cell drug perturbation models are increasingly used to predict how compounds remodel cellular states, but they are still largely assessed by expression reconstruction. Whether high expression similarity reflects preservation of drug-response s...
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Plant Bioengineering Atlas: A Knowledge Graph of Genes, DNA Constructs, and Plant Traits.

bioRxiv Aug 24, 2026
Plant bioengineering has generated tens of thousands of genotype-to-phenotype relationships, but this knowledge remains fragmented across narrative literature and difficult to use computationally. Inconsistent descriptions of DNA constructs, host spe...
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Cooperative Modular Representation Learning for Lung Adenocarcinoma Survival Prediction from Transcriptomic and Clinical Data

bioRxiv Aug 24, 2026
Accurate prognosis in lung adenocarcinoma (LUAD) requires integration of high-dimensional transcriptomic profiles with compact but clinically stable patient covariates. Naive fusion strategies allow the high-variance RNA-seq modality to dominate lear...
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Calibration-Aware and Interpretable Graph Learning for Multi-Cohort Diffusion Connectome Brain-Age Modeling

bioRxiv Aug 24, 2026
Brain-age models derived from diffusion MRI-based structural connectomes may provide imaging biomarkers of accelerated brain aging, but their biological interpretation and transportability across heterogeneous populations remain uncertain. We develop...
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