bioRxiv

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Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational Tool for Interpreting Ensembles of Genomic Prediction Models

bioRxiv Jan 1, 2025
Ensemble of multiple genomic prediction models have grown in popularity due to consistent prediction performance improvements in crop breeding. However, technical tools that analyse the predictive behaviour at the genome level are lacking. Here, we d...
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Instrument-free quantitative detection of analytes using a novel combo lateral flow assay

bioRxiv Jan 1, 2025
Lateral flow assays (LFA) are widely regarded as the cheapest, fastest, and easiest point-of-care (PoC) tests available.1,2 A key advantage is that results can be visually interpreted without the need for specialized equipment, enabling on-site appli...
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NucleicBERT: Deciphering the language of nucleic acids by a large-language model

bioRxiv Jan 1, 2025
The vast majority of the human genome comprises non-protein-coding regions whose structural and functional roles remain poorly understood. Many of these regions function through RNA, yet progress in deep learning for RNA has lagged behind proteins be...
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In silico prediction of cellular organelles from computationally super-resolved (SR) phase-modulated optical micrographs

bioRxiv Jan 1, 2025
Differential interference contrast (DIC) & phase contrast microscopy (PCM) represent 2 widely-assimilated optical microscopical imaging modalities often employed for live cell imaging (LCI) applications. Although both of these approaches have marked ...
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A mechanistic theory of planning in prefrontal cortex

bioRxiv Jan 1, 2025
Planning is critical for adaptive behaviour in a changing world, because it lets us anticipate the future and adjust our actions accordingly. While prefrontal cortex is crucial for this process, it remains unknown how planning is implemented in neura...
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Generative semantic multiplexing (SemaPlex) for accessible and scalable multiplexed fluorescence imaging

bioRxiv Jan 1, 2025
Multiplexed fluorescence imaging enhances spatially-resolved interrogation of complex, multi-molecular cell processes that are insufficiently sampled using standard 4-5 plex imaging. To improve accessibility and scalability for multiplexed imaging, w...
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BioLab: End-to-End Autonomous Life Sciences Research with Multi-Agents System Integrating Biological Foundation Models

bioRxiv Jan 1, 2025
Scientific discovery in the life sciences remains hindered by fragmented workflows, narrow-scope computational models, and inefficient links between in silico prediction and wet-lab validation. We present BioLab, a multi-agent system that integrates ...
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Ultrastructural Analysis of Human Uncinate Fasciculus with Spectral-Focusing Coherent Anti-Stokes Raman Spectroscopy

bioRxiv Jan 1, 2025
Characterizing the ultrastructure of myelin in the human brain is key to understanding the neurobiology of both health and disease. In postmortem human brain tissue, electron microscopy is often technically unfeasible due to poorer tissue quality. Th...
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Output-Contingent Working Memory and Decision-Making in Economic Choices

bioRxiv Jan 1, 2025
In daily life, economic decisions often unfold sequentially. The brain is thought to compute the subjective value of each option, and comparisons can occur in different reference frames, for example, based on the commodity or presentation order. Whil...
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Single-cell neural network classifiers reveal that PM21 NK cell expansion is dependent on B cell signaling

bioRxiv Jan 1, 2025
In the field drug development ML/AI methods are being applied to improve drug production speed, costs, and reliability. In allogenic NK cell therapy production, one of the biggest challenges is the inherent variability in the donors that provide the ...
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