AIMC Journal:
bioRxiv

Showing 2471 to 2480 of 4979 articles

Estimating Gait Kinematics from Muscle Activity Using Deep Learning in Typically Developing Children

bioRxiv Feb 8, 2026
Instrumented gait assessment in pediatric populations is often constrained by the complexity and lack of portability of traditional motion capture systems. In this article, we propose a deep learning approach utilizing a one-dimensional (1D) U-Net ar...
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Results of a large scale study of the binding of 50 type IIinhibitors to 348 kinases: The role of protein reorganization

bioRxiv Feb 8, 2026
Kinase family proteins constitute the second largest protein class targeted in drug development efforts, most prominently to treat cancer, but also several other diseases associated with kinase dysfunction. In this work we focus on type II kinase inh...
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Widespread data leakage inflates performance estimates in cancer drug response prediction

bioRxiv Feb 8, 2026
Drug response prediction models are widely used to nominate biomarkers and guide pre-clinical drug prioritization. However, their reported performance hinges on rigorous separation of training and test data during cross-validation (CV). Here we show ...
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The hippocampus as a small-world cognitive map

bioRxiv Feb 8, 2026
When a mouse perceives a hawk's shadow, it may have only seconds to decide where to run, yet the safest refuge is often neither visible nor nearby. To survive, it must search its cognitive map quickly enough to choose among many possibilities, and ac...
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Evidence of an optimal error rate for motor skill learning

bioRxiv Feb 7, 2026
When acquiring a motor skill, learners must practice the skill at a difficulty that is challenging but still manageable to gradually improve their performance. In other words, during training, the learner must experience success as well as failure. D...
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Learning millisecond protein dynamics from what is missing in NMR spectra

bioRxiv Feb 7, 2026
Many proteins' biological functions rely on interconversions between multiple conformations occurring at micro- to millisecond (s-ms) timescales. A lack of standardized, large-scale experimental data has hindered obtaining a more predictive understan...
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Quantitative RNA pseudouridine landscape reveals dynamic modification patterns and evolutionary conservation across bacterial species

bioRxiv Feb 7, 2026
Pseudouridine ({Psi}) modifications are the most abundant RNA modifications; however, their distribution and functional significance in bacteria remain largely unexplored compared to eukaryotic systems. In this study, we present the first transcripto...
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Characterizing yield through wheat's perception of chronological progression: a multi-omics plant-time warping approach

bioRxiv Feb 7, 2026
To address challenges in food security, a better understanding of crop performance under varying and changing environmental conditions is required. Plant Time Warping (PTW) is a deep learning model that integrates high-throughput field phenotyping da...
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Accurate somatic variant detection from formalin fixed, paraffin embedded tissue (FFPE) derived WES and WGS by DeepOmicsFFPE-PLUS, a sequence context-based transformer

bioRxiv Feb 7, 2026
Formalin-fixed paraffin-embedded (FFPE) tissues represent a vast archival resource for genomic studies, yet their utility remains constrained by fixation-induced DNA damage and subsequent sequencing artifacts. To comprehensively characterize and addr...
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Integrative Single-Cell Epigenomic Atlas Annotates the Regulatory Genome of the Adult Mouse Brain

bioRxiv Feb 7, 2026
Histone modifications underpin the cell-type-specific gene regulatory networks that drive the remarkable cellular heterogeneity of the adult mammalian brain. Here, we profiled four histone modifications jointly with transcriptome in 2.5 million nucle...
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