AIMC Journal:
bioRxiv

Showing 2731 to 2740 of 4979 articles

Deployable high-fidelity metagenome binning at scale with QuickBin

bioRxiv Jan 15, 2026
1Reconstructing genomes from metagenomic assemblies is foundational to microbiome research, yet metagenome binning remains constrained by a persistent trade-off between genome fidelity and deployable throughput. Many high-accuracy approaches rely on ...
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Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEG

bioRxiv Jan 15, 2026
Alcohol Use Disorder (AUD) is a prevalent and debilitating neuropsychiatric condition characterized by compulsive alcohol consumption, impaired control, and negative emotional states, affecting about 28 million adults in the United States. Despite it...
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The geometry of context-dependent biased decisions during learning

bioRxiv Jan 15, 2026
Adaptive behavior requires inferring latent context and rapidly adjusting decisions in response to changing environmental contingencies. We investigated how reward context is learned, represented, and updated during decision making. We recorded large...
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High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states

bioRxiv Jan 15, 2026
Lupus nephritis (LuN) and renal allograft rejection (RAR) manifest inflammation and fibrosis that ultimately lead to kidney failure. To quantitatively assess spatial injury patterns, we collected high dimensional spatial proteomics data from 23 LuN, ...
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Beyond native sequence recovery: Improved modeling of thesequence-energy landscape of protein structures

bioRxiv Jan 15, 2026
Computational protein design using machine learning models has advanced rapidly since the introduction of AlphaFold2. There is now a suite of tools that enable in silico design of proteins with desired structures and properties. Most design workflows...
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Extending Conformational Ensemble Prediction to Multidomain Proteins and Protein Complex

bioRxiv Jan 15, 2026
Proteins execute cellular functions through a structural continuum ranging from stable, folded domains to highly dynamic intrinsically disordered regions (IDRs). Conformational ensembles represent the set of three-dimensional structures a protein ado...
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MorphoLearn: A morphology-driven workflow to decipher 3D electron microscopy segmentation in diatoms

bioRxiv Jan 15, 2026
Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastructure. However, large-scale segmentation of whole-cell volumes poses a significant challenge, especially in biologically diverse systems. Unlike medi...
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Label-free detection of individual virus-infected cells using deep learning

bioRxiv Jan 15, 2026
Numerous applications in research and medicine rely on reliable identification and quantification of virus-infected cells. Current methods either apply reporter viruses, that often differ from clinical isolates (e. g. cell tropism, immune evasion) or...
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Predictive coding narrows the gap between convolutional networks and human brain function in misspelled-word reading

bioRxiv Jan 14, 2026
Humans can readily recognize words even when they are misspelled, though with slower responses, demonstrating remarkable robustness in reading. The computational mechanisms underlying this combination of robustness and cost in reading remain unclear....
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Accelerating Inference in Genomic Foundation Models via Speculative Decoding

bioRxiv Jan 14, 2026
Genomic and protein foundation models (GFMs and PFMs) have demonstrated strong performance in learning the language of DNA and proteins, but their use in large-scale sequence generation is limited by the latency of autoregressive decoding. Because ev...
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