bioRxiv

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A machine learning framework for predicting and modulating condition-dependent protein phase separation

bioRxiv Jan 1, 2025
Protein phase separation is a fundamental process in organizing membraneless organelles and is implicated in a wide range of pathological conditions. Crucially, rather than being an intrinsic feature of specific proteins, phase separation is a condit...
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Sensory sharpening and semantic prediction errors unify competing models of predictive processing in human speech comprehension

bioRxiv Jan 1, 2025
The human brain makes abundant predictions in speech comprehension that, in real-world conversations, depend on conversational partners. Yet, tested models of predictive processing diverge on how such predictions are integrated with incoming speech: ...
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Neural posterior estimation for population genetics

bioRxiv Jan 1, 2025
Simulation-based inference methods are increasingly being used in population genetics due to their flexibility and ability to be applied in settings where likelihood-based methods are intractable. Perhaps the best known such method is Approximate Bay...
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White-Matter BOLD Mediates Time-Varying Cortico-Cortical Functional Connectivity

bioRxiv Jan 1, 2025
Functional connectivity (FC) measurements in the brain using BOLD fMRI have largely focused on correlations between gray-matter (GM) BOLD signals, ignoring the possible relevance of white-matter (WM) in delineating neural networks. We first employed ...
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FlashAffinity: Bridging the Accuracy-Speed Gap in Protein-Ligand Binding Affinity Prediction

bioRxiv Jan 1, 2025
Accurate prediction of protein-ligand binding affinity is central to computational drug discovery. Recent foundation models, such as Boltz-2, have achieved remark-able accuracy, but their high computational cost poses a major barrier to large-scale v...
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Closing the Sim-to-Real Gap: An End-to-End Robotic Ultrasound System Leveraging In Vivo Reinforcement Learning and 3D-Prior Guided Hybrid Control

bioRxiv Jan 1, 2025
Abdominal ultrasound is a crucial first-line diagnostic tool, yet its efficacy is inherently constrained by a strong dependency on operator skill, leading to significant inter-operator variability and limiting its widespread adoption. While robotic u...
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AI-based Predictive Signaling Pathway Profiling in Cardiac Fibrosis Suggests a Novel Combinatorial Treatment Strategy

bioRxiv Jan 1, 2025
Cardiovascular disease (CVD) remains the leading cause of global mortality, with myocardial fibrosis characterized by excessive extracellular matrix (ECM) deposition representing a common endpoint associated with progressive cardiac dysfunction. Whil...
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Structural changes in autism reflect atypical brain network organization and phenotypical heterogeneity: a hybrid deep network approach

bioRxiv Jan 1, 2025
Autism Spectrum Disorder (ASD) is a developmental disorder characterized by heterogeneity in social and emotional responses, language, and behavior. Assessments such as the Social Responsiveness Scale (SRS) can quantify this variability but understan...
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Theta and beta account for the two-impacted components of social influence on risk decision-making

bioRxiv Jan 1, 2025
Social influence in risky decision-making means changing risky behavior after observing other’s choices. Although attributes’ prioritization can alter subjective value of a particular option while choice bias can affect the tendency toward it, previo...
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TASC: A transcriptome-driven machine learning classifier to explore molecular heterogeneity and relapse-associated programs in T-cell Acute Lymphoblastic Leukemia

bioRxiv Jan 1, 2025
T-cell acute lymphoblastic leukemia is a biologically heterogeneous malignancy characterized by diverse transcriptional and genomic alterations. Recent studies have defined a set of recurrent molecular subtypes associated with distinct differentiatio...
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