AIMC Journal:
bioRxiv

Showing 2781 to 2790 of 4979 articles

Deformed Probability Estimation in Goal-Directed reinforcement learning model explains anxious-depression dimensions of psychiatric disorders

bioRxiv Jan 1, 2025
Psychiatric disorders are complex, multi-dimensional pathologies rooted in diverse cognitive processes. Computational psychiatry aims to reveal distortions in these processes through behavior modeling, providing a deeper understanding of psychiatric ...
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Prediction and functional interpretation of inter-chromosomal genome architecture from DNA sequence with TwinC

bioRxiv Jan 1, 2025
Three-dimensional nuclear DNA architecture comprises well-studied intra-chromosomal (cis) folding and less characterized inter-chromosomal (trans) interfaces. Current predictive models of 3D genome folding can effectively infer pairwise cis-chromatin...
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Comprehensive Multi-omics Mapping of Vesicle Cargo from Plasma or Novel Tissue Vesicles Reveals Pathological Changes in Cargo with Patient Age

bioRxiv Jan 1, 2025
Aging is a major risk factor for cardiovascular disease, the leading cause of death worldwide, and numerous other diseases, but the mechanisms of these aging-related effects remain elusive. Recent evidence suggests that chronic changes in the microen...
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In Silico Target Identification Highlights IL12B as a Candidate for Small Molecule Drug Development

bioRxiv Jan 1, 2025
Drug discovery’s rising costs and complexities require innovative strategies to identify viable therapeutic targets. We developed a computational pipeline to pinpoint protein targets lacking known small molecule probes, focusing on sites traditionall...
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Directing cellular transitions on gene graph-enhanced cell state manifold

bioRxiv Jan 1, 2025
A select few genes act as pivotal drivers in the process of cell state transitions. However, finding key genes involved in different transitions is challenging. To address this problem, we present CellNavi, a deep learning-based framework designed to...
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Visual-like Template Diffusion: Boosting Single-Sequence Protein Structure Prediction by Adapting Image Diffusion Models

bioRxiv Jan 1, 2025
Single-sequence protein structure prediction has drawn increasing attention due to the high computational costs associated with obtaining homologous information. Here, we propose a visual-like template diffusion method, named TDFold, to achieve accur...
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Reduced Model-Based Control in Gambling Disorder Despite Intact Neural Value and Task Structure Representations

bioRxiv Jan 1, 2025
Disordered gambling has been linked to impairments in goal-directed (model-based) control and reinforcement learning. Here we investigated the potential neural basis of this impairment using a sequential reinforcement learning task (modified two-step...
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Development of convolutional neural networks for automated brain-wide histopathological analysis in mouse models of synucleinopathies

bioRxiv Jan 1, 2025
Preclinical animal models are indispensable for uncovering disease mechanisms and developing novel therapeutic interventions in synucleinopathies. Key readouts including neuronal cell death, neuroinflammation and alpha-synuclein protein aggregation, ...
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Physics-Informed Generative Model for 3D Localization Microscopy

bioRxiv Jan 1, 2025
Localization microscopy techniques have overcome the diffraction limit, enabling nanoscale biological imaging by precisely determining the positions of individual emitters. However, the performance of deep learning methods commonly applied to these t...
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Boundary constraints can determine pattern emergence

bioRxiv Jan 1, 2025
The robust patterning of cell fates during embryonic development requires precise coordination of signalling gradients within defined spatial constraints. Using a geometrically confined in vitro system derived from human embryonic stem cells, we demo...
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