AIMC Journal:
bioRxiv

Showing 711 to 720 of 4938 articles

Deep learning framework for kinematic event detection and stimulation decoding in primate reaching behavior

bioRxiv Jul 20, 2026
Accurate analysis of motor behavior requires the reliable detection of ongoing kinematic events and a granular characterization of the changes in motor output that occur in response to neural impairments. This article describes a deep learning framew...
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Interpretable Peripheral Blood Cell Classification via Vision-Language Concept Bottleneck and Soft Decision Tree

bioRxiv Jul 20, 2026
Motivation: Deep learning classifiers for medical image analysis typically function as black boxes, disclosing neither the image features underlying their predictions nor the reasoning by which individual decisions are reached. Peripheral blood cell ...
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When does more data help? Spectral Geometry and Scaling Laws in MRI Transformers

bioRxiv Jul 20, 2026
Scaling laws describe how model performance improves as the amount of training data increases, and recent theories such as the zeta law suggest that scaling behavior is influenced by the eigenspectrum of the model's latent representation. Here, we ev...
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scRepresenter: a workflow for computing, integrating and benchmarking cellular representations in single-cell transcriptomics

bioRxiv Jul 20, 2026
Motivation: Single-cell RNA sequencing (scRNA-seq) has become an attractive tool for studying complex diseases, in which transient cell states affecting diverse cell populations characterise disease development and progression. However, due to data s...
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Learning to read a second language establishes a parallel L2 representation alongside the native one in the VWFA

bioRxiv Jul 19, 2026
Learning to read a second language requires the brain to incorporate a new writing system into an already established native-language reading network, yet how this process reshapes the Visual Word Form Area (VWFA) remains poorly understood. Using fMR...
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Predicting phenotypes with one step genetic decision trees

bioRxiv Jul 19, 2026
Genomic prediction of complex traits is limited when phenotype records are restricted and when using linear models. Increasing the amount of phenotypic data with high-throughput, image-based phenotyping could result in better genomic prediction and s...
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Direct detection of alternative DNA conformations with long-read sequencing and machine learning approaches

bioRxiv Jul 18, 2026
Progress has been made in identifying G-quadruplexes (G4s) and other non-canonical (non-B) DNA structures in live cells. However, these experiments have been limited by methodological constraints, including low resolution and specificity, and GC-sequ...
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A Glycan-Aware Diffusion Model for Carbohydrate and Glycoprotein Structure Prediction

bioRxiv Jul 17, 2026
Biomolecular diffusion models can now predict proteins and heterogeneous complexes, but glycans remain difficult because their branched topology, conformational flexibility, and strict stereochemical rules must be captured simultaneously. We develope...
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Coupled Cell-Intrinsic and Microenvironmental Heterogeneity Drives Divergent Trajectories in Castration-Resistant Prostate Cancer

bioRxiv Jul 17, 2026
Castration-resistant prostate cancer emerges from coupling between cell-intrinsic heterogeneity and microenvironmental constraints. Mechanistically dissecting this coupling, rather than either factor in isolation, is the central aim of this study. To...
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Assessing the Role of Marker Density and Minor Allele Frequency on Machine Learning Driven Genomic Selection Accuracy in Grapevine

bioRxiv Jul 17, 2026
Although grapevine (Vitis spp.) is among the oldest and most economically significant fruit species globally, its genetic improvement faces major bottlenecks due to long juvenile periods and extended cycles for phenotypic evaluation. In this context,...
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