bioRxiv

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Executive Resources Shape the Impact of Language Predictability Across the Adult Lifespan

bioRxiv Jan 1, 2025
Humans routinely anticipate upcoming language, but whether such predictions come at a cognitive cost remains debated. In this study, we demonstrate the resource-dependent nature of predictive mechanisms in language comprehension across the lifespan: ...
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Supervised Deep Learning for Efficient Cryo-EM Image Alignment in Drug Discovery with cryoPARES

bioRxiv Jan 1, 2025
Cryo-Electron Microscopy (cryo-EM) is a pivotal tool for determining 3D structures of biological macromolecules. Current workflows are computationally demanding and require manual intervention, creating bottlenecks for high-throughput applications li...
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Predictive vision-language integration in the human visual cortex

bioRxiv Jan 1, 2025
Integrating linguistic and visual information is a core function of human cognition, yet how information from these two modalities interacts in the brain remains largely unknown. Competing frameworks, including the hub-and-spoke model and Bayesian th...
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An integrated platform for high-throughput phenospace learning of 3D multilineage organoid systems

bioRxiv Jan 1, 2025
Complex multilineage organoid systems lack quantitative phenotyping methods preserving spatial architecture at high throughput. Current approaches compromise biological complexity, spatial resolution, or robust homogeneous multilineage assembly. We e...
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Sparse learning for scalable phylogenetic network inference

bioRxiv Jan 1, 2025
Phylogenetic networks account for signals of hybridization, reticulation, and gene flow, and provide an opportunity to analyse species evolution from a more complex perspective than bifurcating phylogenetic trees. However, even the fastest algorithms...
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Host-Specific Fluorescence Dynamics in Legume-Rhizobia Symbiosis During Nodulation

bioRxiv Jan 1, 2025
The legume-rhizobia symbiosis is a cornerstone of sustainable agriculture due to its ability to facilitate biological nitrogen fixation. Still, real-time visualization and quantification of this interaction remain technically challenging, especially ...
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Enhancing Intra-Continental Biogeographical Ancestry Prediction Through a Machine Learning Marker Selection Method

bioRxiv Jan 1, 2025
While classifiers such as TabPFN (Hollmann et al., 2025) and SNIPPER (Phillips et al., 2007a) achieve strong intercontinental performance (Heinzel et al., 2025), their accuracy in classifying individuals within Europe remains low. One major factor co...
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Comparison of Brain Age Algorithms in Bipolar Disorder

bioRxiv Jan 1, 2025
Advances in computational methods have accelerated the application of machine learning to analyze large complex biological data. By applying machine learning algorithms to neuroimaging data, researchers have estimated the “biological age of the brain...
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PULSAR: a Foundation Model for Multi-scale and Multicellular Biology

bioRxiv Jan 1, 2025
Biology emerges from interactions across physical scales, where molecular interactions drive cellular states, which in turn orchestrate multicellular tissue functions that collectively define health and disease. However, current computational models ...
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ADAPTIVE MULTI-SCALE GRAPH TRANSFORMER FRAMEWORK FOR HISTOPATHOLOGICAL IMAGES

bioRxiv Jan 1, 2025
Whole slide images (WSIs) contain hierarchical information from cellular to tissue architecture but their gigapixel scale poses major memory and computational challenges. Existing multi-scale graph and transformer models capture complex WSI features ...
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