bioRxiv

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Domain-adaptive matching bridges synthetic and in vivo neural dynamics for neural circuit connectivity inference

bioRxiv Jan 1, 2025
Accurately inferring neural circuit connectivity from in vivo recordings is essential for understanding the computations that support behavior and cognition. However, current deep learning approaches are limited by incomplete observability and the la...
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Hierarchical Brain–LLM Alignment Reveals Layer-Specific Neural Representations of Second Language Proficiency

bioRxiv Jan 1, 2025
Second language (L2) comprehension is thought to proceed hierarchically, from basic word recognition to complex discourse-level understanding. However, the neural mechanisms underpinning this hierarchical progression remain poorly understood. Leverag...
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Neural Network-Enhanced Investigation of Ferroptosis and Druggability in Early-Onset Alzheimer’s Disease

bioRxiv Jan 1, 2025
Alzheimer’s disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. Some of its characteristics are slow cognitive decline, memory problems and behavioral changes. AD patient brains show a progressive synaptic toxicity...
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Screening of Cellular Senescence (CS) Related Genes as Biomarkers and Therapeutic Targets for Glioblastoma (GBM) by Integrated Machine Learning (IML)

bioRxiv Jan 1, 2025
Glioblastoma (GBM) is an aggressive brain tumor with limited prognostic biomarkers and therapeutic targets. This study applied an integrated machine learning (IML) framework to discover cellular senescence (CS)-related gene biomarkers and candidate t...
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Cost-effective genomic prediction for fertility traits: A comparison of machine learning and conventional models using low-coverage sequencing in Holstein heifers

bioRxiv Jan 1, 2025
Fertility is one of the major factors affecting the efficiency of dairy herd, and genomic selection (GS) on milk yield, while ignoring fertility, has resulted in a decline in heifer fertility. Consider the cost of breeding, it is important to enhance...
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Neurometabolic predictors of mental effort in the frontal cortex

bioRxiv Jan 1, 2025
Motivation drives individuals to overcome costs to achieve desired outcomes, such as rewards or avoidance of punishment, with significant variability across individuals. The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) ...
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Generative Approaches to Kinetic Parameter Inference in Metabolic Networks via Latent Space Exploration

bioRxiv Jan 1, 2025
Generative machine learning methods that utilize neural networks to parameterize large-scale and near-genome-scale kinetic models have yielded significant efficiency gains in model construction, paving the way for high-throughput dynamic metabolism s...
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A Diffusion-Based Autoencoder for Learning Patient-Level Representations from Single-Cell Data

bioRxiv Jan 1, 2025
Single-cell RNA sequencing (scRNA-seq) offers insights into cellular heterogeneity and tissue composition, yet leveraging this data for patient-level clinical predictions remains challenging due to the set-structured nature of single-cell data, as we...
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Integrative network modeling of colorectal cancer reveals diagnostic signatures and therapeutic targets

bioRxiv Jan 1, 2025
Emerging evidence suggests that the interplay between multiple signaling pathways and the immune microenvironment influences tumorigenesis in cancers such as colorectal cancer (CRC). To gain an in-depth understanding of CRC mechanisms and identify no...
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A systematic protocol to identify “clinical controls” for pediatric neuroimaging research from clinically acquired brain MRIs

bioRxiv Jan 1, 2025
Progress at the intersection of artificial intelligence and pediatric neuroimaging necessitates large, heterogeneous datasets to generate robust and generalizable models. Retrospective analysis of clinical brain magnetic resonance imaging (MRI) scans...
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