AIMC Journal:
bioRxiv

Showing 1151 to 1160 of 4938 articles

POISE: Spectral Inference of Parent-of-Origin Effects in Unlabeled Genomic Data

bioRxiv Jun 10, 2026
Motivation: Parent of Origin Effects (POEs), where the effect of an an allele on a phenotype differs based on maternal or paternal inheritance implicated in growth, metabolism, and neurodevelopment. Traditional tests for POEs require family data to d...
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Atomistic Simulation of Blood Brain Barrier Permeability of Propolis Derived Natural Compounds

bioRxiv Jun 10, 2026
The ability of small molecules to cross the blood-brain barrier (BBB) remains a major bottleneck in neurotherapeutic development. While experimental assays and machine learning approaches provide approximate permeability estimates, they lack atomisti...
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What can a neuron compute

bioRxiv Jun 9, 2026
Cortical pyramidal neurons possess elaborate dendritic trees with diverse nonlinear membrane conductances and thousands of plastic synapses, suggesting substantial computational capabilities at the single-cell level. Yet, what can a neuron compute re...
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FLAG-X: Hybrid machine learning workflows for automated gating of clinical flow cytometry data

bioRxiv Jun 9, 2026
Flow cytometry analysis is widespread practice in cell biology, immunology and hematology. Cell populations of interest are typically identified by consecutively examining the expression levels of antigen marker pairs. Since this manual gating proces...
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Evaluating agentic AI for biological discovery in autonomous and copilot settings

bioRxiv Jun 9, 2026
Advances in large language models (LLMs)-based artificial intelligence (AI) agents have improved their ability to execute structured analytical workflows, including standard bioinformatic pipelines for biological discovery. However, computational bio...
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TaxoFormer: Hierarchical Transformer for Predicting the Full Taxonomic Lineage of Protein Sequences

bioRxiv Jun 9, 2026
Predicting labels in massive, hierarchically structured output spaces is a core challenge in machine learning. In this work, we use the problem of predicting the full taxonomic lineage of a protein from its sequence as a case study for this challenge...
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SHERLOC: An interpretable deep learning model for longitudinal circulating tumor DNA data in survival analysis

bioRxiv Jun 9, 2026
Longitudinal circulating tumor DNA (ctDNA) measurements offer a noninvasive means to monitor treatment response, but clinical trial data present substantial methodological challenges due to high-dimensional short longitudinal ctDNA sequences and limi...
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Development of an Exploratory Taxonomy for Veterinary Professionals' AI Query Patterns Across Clinical Stages: An Expert Panel Study

bioRxiv Jun 9, 2026
Background/Objectives: The integration of large language model (LLM)-based AI tools into veterinary clinical practice is rapidly increasing; however, no systematically derived taxonomy of veterinary AI query patterns has been established. This study ...
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HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neuro-cognitive Modeling

bioRxiv Jun 9, 2026
Computational models are central to cognitive neuroscience, but their rigorous application to experimental datasets is often constrained to a narrow set of canonical models that afford tractable analytical computations. We introduce the HSSM (Hierarc...
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AI-guided analysis of human pancreatic islet sociology reveals distinct cell compositional changes in type 1 diabetes

bioRxiv Jun 9, 2026
Human pancreatic islets exhibit greater anatomic and cellular heterogeneity than previously appreciated, raising fundamental questions about how their composition varies with age, sex, region, and islet size and how type 1 diabetes (T1D) alters these...
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