AIMC Journal:
bioRxiv
Showing 1551 to 1560 of 4956 articles
Machine learning-based prediction of memory requirements for metagenomic assembly in high-performance computing environments
bioRxiv
May 13, 2026
Metagenomic assembly can be a computationally intensive step in microbiome analysis, with memory requirements that vary widely depending on input data characteristics. In workflow systems like Galaxy and large-scale platforms like MGnify, which run t...
Morphological fingerprints enable machine learning based inference of neuroblastoma cell states without transcriptomics
bioRxiv
May 13, 2026
Inference of cancer cell states is essential for understanding oncogenic mechanisms and predicting clinical outcomes, yet current reliance on transcriptomic profiling limits scalability and real-time monitoring. Here, we show that cell morphology pro...
Bayesian-Steered Structure Prediction of Mechanical Biomolecules Using Twisted Diffusion
bioRxiv
May 13, 2026
Deep learning approaches have revolutionized protein structure prediction. These tools are trained using experimental data and recapitulate reported conformations, but there is great interest in predicting conformations that may be functionally relev...
Simulating the spectrum, not the syndrome: Large scale individualized modeling of oral reading in stroke aphasia
bioRxiv
May 13, 2026
Computational models are a linchpin in our understanding of the neurocognitive basis of reading. These models can simulate idealized profiles of alexia syndromes, but in reality, individuals with alexia present with a wide range of mixed deficits rat...
Deep Representation Learning on Whole-Brain Population Dynamics Uncovers Geometrically Separable Neural Codes
bioRxiv
May 13, 2026
Learning interpretable low-dimensional representations of whole-brain neuronal dynamics remains a major computational challenge in systems neuroscience. We present a wiring-agnostic deep-learning framework that couples a convolutional encoder with a ...
DynoSys 2.0: Graph-Based Modeling of Dynamic Risk States and System Transitions in Human Behaviours Development
bioRxiv
May 13, 2026
Human behavioral and mental health outcomes arise from interactions among genetic, environmental, and neurobiological systems. Existing frameworks often model these components jointly, but many treat variables independently or use static representati...
Transferable spatial omics deconvolution with SpaRank
bioRxiv
May 13, 2026
By resolving cell-type compositions from multi-cellular spatial measurements, deconvolution is central to resolving the cellular landscape of complex tissues. Existing deconvolution methods fit continuous expression values and are therefore sensitive...
Shared roles and team membership are reflected in functional connectome similarity: Neural evidence from real-world volleyball teams
bioRxiv
May 13, 2026
In task-oriented teams, long-term coordination among specialized roles may contribute to shared patterns of cognition and behavior, yet little is known about how such experience is reflected in brain functional organization. Here, we examined whether...
HAIRpred2: Human Host-Specific Prediction of Antibody-Interacting Residues Using Hybrid Physicochemical and Structural Features
bioRxiv
May 13, 2026
Prediction of conformational B-cell epitopes is critical for vaccine design, immunotherapy, and antibody engineering. To date, several host-independent computational methods have been developed for predicting antibody-interacting residues in antigen ...
Uncertainty-aware graph representation learning with positive-unlabeled classification for biomarker discovery in peripheral artery disease
bioRxiv
May 13, 2026
Peripheral artery disease (PAD) is a complex vascular disorder characterized by heterogeneous molecular mechanisms and incomplete functional annotation, limiting systematic biomarker discovery. Network-based learning approaches provide a powerful fra...
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