AIMC Journal:
bioRxiv

Showing 411 to 420 of 4935 articles

Reliability and disease sensitivity are dissociable properties of EEG foundation-model representations

bioRxiv Aug 24, 2026
Abstract EEG foundation models (EEG-FMs) are evaluated almost entirely on disease-discrimination accuracy. A clinical biomarker additionally requires measurement reliability, the stability of repeated measurements on the same individual, which regula...
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Mapping Alzheimer's neuropathology signatures to the whole brain transcriptome using machine learning data fusion

bioRxiv Aug 24, 2026
In Alzheimer's disease (AD), misfolded proteins emerge across the entire brain in structured, yet not rigid, spatiotemporal patterns. Yet, a systematic bias of single-cell genomics toward sampling mostly cortical tissue limits our understanding of th...
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Multiplexed Quantification of Variant Abundance in the Globin Gene Family: Integrating Saturation Mutagenesis with Cross-Paralog Prediction

bioRxiv Aug 24, 2026
Widespread genetic testing has expanded variant identification, yet functional characterization remains a bottleneck in genome guided medicine. Here, we present a modified Variant Abundance by Massively Parallel Sequencing (VAMP-seq) platform integra...
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A hybrid geometric-feature algorithm for 2D shape similarity

bioRxiv Aug 24, 2026
In this paper, we address the problem of quantifying similarity between planar 2D shapes, which is relevant to studies of internal representations in cognitive, developmental, and neurological research. We designed a set of test shapes arranged along...
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Model Validation Protocols for Machine Learning in Small Molecule Drug Discovery

bioRxiv Aug 24, 2026
Machine learning (ML) models for molecular property prediction are increasingly deployed in drug discovery, yet their adoption in real-world scenarios requires an understanding of the conditions in which a model succeeds or fails. While standardized ...
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DualMyo: Multi-Channel Dual-Stream Transformer Architecture for EMG-to-Digit Classification

bioRxiv Aug 24, 2026
Surface electromyography (sEMG) is a robust non-invasive modality for human-machine interaction, yet its application remains largely limited to coarse motor tasks such as grasping or rotation. The decoding of fine motor skills, specifically handwriti...
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Interpretable Decoding of Frequency-Resolved Functional Connectivity

bioRxiv Aug 24, 2026
Whole-brain functional connectivity, estimated from magnetoencephalography (MEG) data, provides a compact representation of long-range neuronal communication, making it suitable for predictive biomarker discovery. In this work, we propose a deep lear...
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CodonMamba: a foundation model for programmable mRNA coding sequence design

bioRxiv Aug 24, 2026
Although mRNA codon language models provide a generalizable framework for biological sequence design, effective CDS design requires both a learned sequence design space that captures biological constraints and context-configurable design preferences....
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Predicting Protein-RNA Binding Affinity Changes via Spatial Coupling-Aware State Space Modeling

bioRxiv Aug 24, 2026
Accurately predicting the effects of mutations on protein-RNA binding is crucial for elucidating disease mechanisms. Yet, exhaustively exploring the space of all possible variants is prohibitively expensive, motivating computational methods that can ...
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Bayesian Network Structure Learning: The NewCalibrated Minimum Uncertainty Criterion andDiscriminative Power Evaluation Framework

bioRxiv Aug 23, 2026
Bayesian network (BN) structure learning (BNSL) from heterogeneous data is a classical problem in probabilistic machine learning and knowledge discovery. A variety of computational methods exist for score-based BNSL, but all inherit limitations impos...
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