AIMC Journal:
bioRxiv

Showing 3081 to 3090 of 4993 articles

Facilitating analysis of open neurophysiology data on the DANDI Archive using large language model tools

bioRxiv Jan 1, 2025
The DANDI Archive is a key resource for sharing open neurophysiology data, hosting over 400 datasets in the Neurodata Without Borders (NWB) format. While these datasets hold tremendous potential for reanalysis and discovery, many researchers face bar...
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Cancer Alpha: A Production-Ready AI System for Multi-Modal Cancer Genomics Classification

bioRxiv Jan 1, 2025
The integration of multi-modal genomic data for cancer classification remains challenging in precision oncology. While machine learning approaches have shown promise, there is a gap between research prototypes and systems with the comprehensive infra...
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Expanding the DNA Motif Lexicon of the Transcriptional Regulatory Code

bioRxiv Jan 1, 2025
Transcriptional regulatory sequences in metazoans contain intricate combinations of transcription factor (TF) motifs. Stereospecific arrangements of simple motifs constitute composite elements (CEs) that enhance DNA-protein interaction specificity an...
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Reconstructing Voice Identity from Noninvasive Auditory Cortex Recordings

bioRxiv Jan 1, 2025
The cerebral processing of voice information is known to engage, in human as well as non-human primates, “temporal voice areas” (TVAs) that respond preferentially to conspecific vocalizations. However, how voice information is represented by neuronal...
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Synaptic sign switching mediates online dopamine updates

bioRxiv Jan 1, 2025
In the mammalian brain, excitatory and inhibitory synapses are generally distinct and have fixed synaptic signs. Therefore, unlike in artificial neural networks, learning in biological networks is thought to be manifested by plasticity mechanisms tha...
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Investigating the performance of foundation models on human 3’UTR sequences

bioRxiv Jan 1, 2025
Foundation models, such as DNABERT and Nucleotide Transformer have recently shaped a new direction in DNA research. Trained in an unsupervised manner on a vast quantity of genomic data, they can be used for a variety of downstream tasks, such as prom...
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MACGA: Multi-scale Adaptive Convolution with Graph Attention for LncRNA–Disease Association Prediction

bioRxiv Jan 1, 2025
Accurate prediction of lncRNA-disease associations (LDAs) is crucial for understanding complex disease mechanisms and advancing precision medicine. Existing computational methods based on graph neural networks (GNNs) often suffer from over-smoothing ...
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Bacteriocin Prediction Through Cross-Validation-Based and Hypergraph-Based Feature Evaluation Approaches

bioRxiv Jan 1, 2025
Bacteriocins offer a promising solution to antibiotic resistance, possessing the ability to target a wide range of bacteria with precision. Thus, there is an urgent need for a computational model to predict new bacteriocins and aid in drug developmen...
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Simultaneous cortical tracking of competing speech streams during attention switching

bioRxiv Jan 1, 2025
Successful speech communication in multi-talker scenarios requires a skilful combination of sustained attention and rapid attention switching. While the neurophysiology literature offers detailed insights into the neural underpinnings of sustained at...
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Decoding Breast Cancer Heterogeneity via Multi-Omics Integration and Language Model-Based Interpretation

bioRxiv Jan 1, 2025
We present a novel pipeline combining Multi-Omics Factor Analysis (MOFA) and fine-tuned Large Language Models (LLMs) to predict breast cancer subtypes using proteomics, DNA methylation, and RNA-Seq data. Breast cancer is a heterogeneous disease chara...
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