AIMC Journal:
bioRxiv

Showing 41 to 50 of 4918 articles

Intrinsic dimensionality of deep learning representations reveals cell death-associated heterogeneity in Parkinsons disease iPSC-derived neurons

bioRxiv Oct 6, 2026
As AI is increasingly used to stratify heterogeneous Parkinsons disease, it is essential to determine whether learned representations preserve disease-relevant variation within diagnostic or genetic groups. In iPSC-derived neurons from three familial...
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GRASP: Graph Representation Learning with Assay Supervision for Molecular Properties

bioRxiv Oct 6, 2026
Molecular structures are abundant, while experimental bioactivity is sparse and distributed across assays. We introduce GRASP, a 93.5M-parameter graph Transformer that learns from these sources in sequence. GRASP first learns molecular structure thro...
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Mechanistic classification of the AAA superfamily with protein language models

bioRxiv Oct 6, 2026
The ATPases Associated with various cellular Activites (AAA) are a class of proteins with diverse structure-function relationships whereby conserved 3-dimensional architecture is employed in varied mechanistic contexts. While cryo-electron microscopy...
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Machine Learning Identification of Functional Trait Syndromes Associated with Responsiveness to Arbuscular Mycorrhizal Fungi

bioRxiv Oct 6, 2026
Arbuscular mycorrhizal fungi (AMF) are widespread plant symbionts that enhance nutrient acquisition, growth, and stress tolerance, yet plant responsiveness to AMF varies substantially and remains difficult to predict. We developed Trait2Myco, a Rando...
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EdiProPred: Prediction of Edible Plant Tissue-Associated Proteins Using Large Language Models

bioRxiv Oct 6, 2026
Ensuring the safety and suitability of proteins considered for food and biotechnology applications is an important challenge. Computational approaches can facilitate the prioritisation of candidate proteins for further investigation, particularly giv...
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Discovering Latent Scientific Concepts through Discrete Representation Learning

bioRxiv Oct 6, 2026
Scientific imaging is undergoing a fundamental transformation. Advances in multiplex immunofluorescence, computational pathology, and electron microscopy now enable observation of biological and physical systems at unprecedented spatial resolution. R...
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Circular Data Analysis for Spatial Omics

bioRxiv Oct 6, 2026
Many biological quantities in omics are inherently periodic or directional, including circadian phase, cell-cycle position, and cellular orientation. Treating such quantities as ordinary linear variables can introduce artificial discontinuities and o...
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A Large Yield Model for Crop Production and Design in Western Canada

bioRxiv Oct 6, 2026
With a changing climate, disease pressure, and other production threats, it is critical to ensure that crop producers are well-positioned to protect and optimize yields. In this work we present LYM-1, the first large-scale, multi-crop model for the p...
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WITHDRAWN: Isolation of compounds from Cyathea podophylla and their cytoprotective effects against 6-hydroxydopamine-induced toxicity in F11 neuronal cells

bioRxiv Oct 6, 2026
The authors have withdrawn their manuscript because the paper was generated using Artificial Intelligence (AI) tools, which compromises academic integrity, and because we discovered miscalculations in the data analysis. Therefore, the authors do not ...
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SAIL: Sparse Autoencoders for Interpretable Alignment of Human Vision and Multimodal Large Language Models

bioRxiv Oct 6, 2026
Alignment between human high-level visual representations and those of multimodal large language models (MLLMs) offers a quantitative framework for understanding information processing in human vision. However, similarities between model and brain re...
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