AIMC Journal:
bioRxiv

Showing 311 to 320 of 4935 articles

Global tree encoding of atlas-scale single-cell genomics

bioRxiv Sep 4, 2026
The rapid expansion of single-cell genomic datasets has led to the compilation of biological resources comprising hundreds of millions of cells across tissues, developmental stages, and disease states. This has underscored the need for scalable and i...
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Uncharted Waters: Projecting the European Emergence of Naegleria fowleri, Colloquially Known as the 'Brain-Eating Amoeba', Under Climate Warming

bioRxiv Sep 4, 2026
Background. Naegleria fowleri, the causative agent of primary amoebic meningoencephalitis (PAM), is a thermophilic free-living amoeba historically endemic to warm freshwater environments, particularly in the southern United States. While human infect...
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Evaluating performance bias in face-to-BMI vision transformer models across diverse human populations

bioRxiv Sep 4, 2026
Computer vision models that estimate body mass index (BMI) from facial features offer a non-invasive, low-cost alternative to physical measurement, with uses in telemedicine, emergency care where a scale or measuring tools arent available, automated ...
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Cross-domain confidence reliability and remappability of frozen single-cell representations

bioRxiv Sep 4, 2026
Single-cell foundation models are increasingly adopted for downstream applications such as cell-type prediction. However, these predictions are often utilized without assessing their reliability, or by relying on a simple cutoff applied to the maximu...
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PredIDR3: A new output-encoding scheme and abundant negative source provide more information for deep learning-based protein intrinsic disorder prediction

bioRxiv Sep 4, 2026
Many computational methods to predict intrinsic disordered regions (IDRs) in proteins have been developed and their performances are blindly evaluated in community-driven assessment, Critical Assessment of protein Intrinsic Disorder (CAID). In this s...
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Interpretable Multiomics Machine Learning Identifies GSDMB-Associated Epigenetic Repression and Reduced Immune Activity in Metastatic Colorectal Cancer

bioRxiv Sep 4, 2026
Background: Colorectal cancer (CRC) is a major cause of cancer-related mortality, with distant metastasis strongly associated with poor clinical outcomes. Integrating transcriptomic and epigenomic data through machine learning may improve the molecul...
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Robust and Quality-of-Life-Aware Treatment Protocols in NSCLC using Deep Reinforcement Learning

bioRxiv Sep 4, 2026
Under current systemic treatment of metastatic cancer, a drug is frequently prescribed at maximum tolerable dose (MTD) until either unacceptable toxicity or progression. Unfortunately, in many patients this treatment strategy leads to the development...
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Multimodal Magnetic Resonance Imaging Biomarkers of Pediatric Traumatic Brain Injury Identified by Ensemble Learning Are Associated with Psychopathology

bioRxiv Sep 4, 2026
Background: Pediatric traumatic brain injury (TBI) is associated with increased psychopathology, but the neural alterations underlying this vulnerability remain poorly understood. We used interpretable machine learning to identify multimodal MRI feat...
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Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

bioRxiv Sep 3, 2026
The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Re...
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The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

bioRxiv Sep 3, 2026
Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challen...
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