AIMC Journal:
bioRxiv

Showing 61 to 70 of 4935 articles

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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MOSAIC: Learning Graph Node Embeddings from Spectrally Isolated Dominant Subspaces of Accumulated Diffusion Operators

bioRxiv Oct 6, 2026
Graph embedding transforms complex networks into low-dimensional representations for analysis and downstream machine learning. Existing methods often rely on eigenvalue ordering, random-walk sampling, or neural optimization. We introduce MOSAIC, Mult...
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WITHDRAWN: Isolation of compounds from Cyathea podophylla and their cytoprotective effects against 6-hydroxydopamine-induced toxicity in F11 neuronal cells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The authors have withdrawn their manuscript because the paper was generated using Artificial Intelligence (AI) tools, which compromises academic integrity, and because we discovered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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lisaR: An LLM-Inferred Semantic Annotation of biological categories for gene set enrichment analysis

bioRxiv Oct 6, 2026
Gene set enrichment analysis (GSEA) turns differential expression results into lists of enriched gene sets. These lists are often long and redundant and span several gene-set collections, which makes their biological interpretation difficult. We pres...
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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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sORF-Trans2MS: a two-module deep learning framework for sORF translation and MS-supported microprotein prediction

bioRxiv Oct 6, 2026
Ribosome profiling is widely used to identify translated small open reading frames (sORFs), but existing prediction models often generalize poorly to newly collected sORF datasets. In addition, many microproteins with strong mass spectrometry (MS) ev...
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From Benchmark to Bench: Can Agents Survive Real-World Drug Discovery?

bioRxiv Oct 6, 2026
Agentic systems increasingly coordinate molecular-design tools, but it is unclear which layer of the stack limits outcomes on real projects. We developed MAGI, an open modular agent that authors objectives, launches and monitors optimization, interpr...
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