AIMC Journal:
bioRxiv

Showing 781 to 790 of 4938 articles

Metagenomic contextualization of proteins with state space models

bioRxiv Jul 11, 2026
Since the early adoption of metagenomics (the culture-free sequencing of microbial community genomes) in 2011, sequence data has increased over 500-fold across ecosystems. This surge in data has outpaced reliable taxonomic and functional annotation, ...
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Optimizing MR-based gaze-decoding for eyes-closed eye-tracking in fMRI

bioRxiv Jul 11, 2026
Eye movements provide valuable insights into human cognition and are a critical variable in numerous functional magnetic resonance imaging (fMRI) studies. Yet, when the eyes are closed, camera-based eye-tracking is unavailable, making studies of eyes...
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Dynamics of ML-based Morphological Features Indicate a Shear Stress-Dependent Bifurcation of hiPSC-Derived Endothelial Cell States

bioRxiv Jul 11, 2026
Cell states are increasingly conceptualized as attractors of high-dimensional dynamical systems, yet quantitative approaches for integrating phenotypic information into this framework remain limited. Here, we take an image-based approach that combine...
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Prior knowledge reveals two computational regimes for syntactic processing in the human brain

bioRxiv Jul 11, 2026
The human brain rapidly transforms continuous speech into structured, meaningful linguistic representations, yet how prior knowledge constrains this process remains unclear. To characterize this influence, we combined MEG recordings acquired during a...
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Entropy regularised reinforcement learning reconciles aversive and action prediction errors in the tail of the striatum

bioRxiv Jul 11, 2026
Dopamine activity in the tail of the striatum (TS) presents a novel challenge for reinforcement-learning theories of dopamine. Some studies suggest that TS-projecting dopamine signals encode aversive or threat prediction errors, whereas others argue ...
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First-Trimester Non-Invasive Prediction of Preterm Birth Using Cell-Free DNA Fragmentomics

bioRxiv Jul 11, 2026
Objective. To develop and validate a cell free DNA (cfDNA) fragmentomic classifier for the early prediction of spontaneous preterm birth (PTB) using routine first trimester non-invasive prenatal testing (NIPT) data. Methods. A nested case-control stu...
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M6AFormer Prioritizes Unannotated Functional m6A Candidate Sites in the Human m6A Epitranscriptome

bioRxiv Jul 11, 2026
N6-methyladenosine (m6A) is a pervasive RNA modification with critical roles in post-transcriptional regulation, yet accurate transcriptome-wide identification of functional m6A sites remains challenging. Here, we present M6AFormer, a hybrid deep-lea...
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Lower-limb mechanical power accounts for running energy expenditure and enables single-IMU estimation

bioRxiv Jul 10, 2026
Energy expenditure (EE) during running depends on the interplay between active muscle work and elastic energy storage and return, yet the relative contribution of mechanical power to EE remains debated. Quantifying the relative contributions of segme...
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Coordinate- and Sequence-Based Features for a new Combined Annotation-Dependent Depletion Framework of Structural Variants (CADD-SV v2.0)

bioRxiv Jul 10, 2026
Structural variants are a major source of genomic variation and contribute to human disease and evolution through diverse mechanisms, yet their functional interpretation remains challenging. We present CADD-SV v2.0, an improved machine learning frame...
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DeepPheno: A Deep Learning Framework for Linking Hyperspectral Imaging and SNP Genotypes in Lettuce

bioRxiv Jul 10, 2026
While whole genome sequencing captures millions of single nucleotide polymorphisms (SNPs) and hyperspectral imaging (HSI) enables non destructive plant phenotyping, integrating these modalities to link genotype to phenotype remains challenging due to...
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