AIMC Topic: Autoencoder

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Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets.

BMC bioinformatics Aug 4, 2025
As single-cell sequencing technology became widely used, scientists found that single-modality data alone could not fully meet the research needs of complex biological systems. To address this issue, researchers began simultaneously collect multi-mod...
Humans Software Cluster Analysis Supervised Machine Learning Autoencoder Algorithms Single-Cell Analysis Computational Biology
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Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN.

BMC bioinformatics Jul 29, 2025
BACKGROUND: The exploration of drug-target interactions (DTIs) is a critical step in drug discovery and drug repurposing. Recently, network-based methods have emerged as a prominent research area for predicting DTIs. These methods excel by extracting...
Humans Autoencoder Neural Networks, Computer Algorithms Drug Discovery Computational Biology Drug Repositioning
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Generating realistic artificial human genomes using adversarial autoencoders.

NAR genomics and bioinformatics Jul 24, 2025
A publicly available human genome is both valuable to researchers and a risk for its donor. Many actors could exploit it to extract information about the donor's health or that of their relatives. Recent efforts have employed artificial intelligence ...
Genomics Mutation Genome, Human Humans Artificial Intelligence Algorithms Autoencoder Linkage Disequilibrium
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Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study.

JMIR medical informatics Jul 24, 2025
BACKGROUND: By analyzing electronic health record snapshots of similar patients, physicians can proactively predict disease onsets, customize treatment plans, and anticipate patient-specific trajectories. However, the modeling of electronic health re...
Information Storage and Retrieval Autoencoder Humans Machine Learning Electronic Health Records
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An autoencoder learning method for predicting breast cancer subtypes.

PloS one Jul 23, 2025
Heterogeneity of breast cancer poses several challenges for detection and treatment. With next-generation sequencing, we can now map the transcriptional profile of each patient's breast tissue, which has the potential for identifying and characterizi...
Transcriptome Gene Expression Regulation, Neoplastic Autoencoder Biomarkers, Tumor Gene Expression Profiling Humans Machine Learning Female Breast Neoplasms
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Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach.

Scientific reports Jul 19, 2025
Pulpal inflammation and regeneration are crucial for enhancing endodontic treatment outcomes. Transcriptomic studies highlight the involvement of proinflammatory cytokines, NF-κB signaling, and stem cell activity. This study employs a generative AI a...
Inflammation Humans Dental Pulp Artificial Intelligence Protein Interaction Maps Software Gene Ontology Regeneration Gene Expression Profiling Gene Regulatory Networks Pulpitis Transcriptome Computational Biology Autoencoder
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Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach.

Scientific reports Jul 19, 2025
As digital imaging technology advances, accurate classification of 2D breast cancer images becomes increasingly crucial for early detection and staging. This paper introduces a novel classification approach that integrates deep learning, sparse codin...
Image Processing, Computer-Assisted Mammography Image Interpretation, Computer-Assisted Wavelet Analysis Autoencoder Female Breast Neoplasms Deep Learning Humans Algorithms
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Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization.

Scientific reports Jul 18, 2025
Effective speech emotion recognition (SER) poses a significant challenge due to the intricate and subjective nature of human emotions. Recognizing emotional states accurately from speech signals has a broad spectrum of practical applications, such as...
Emotions Autoencoder Deep Learning Speech Support Vector Machine Neural Networks, Computer Algorithms Humans
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2.

PLoS computational biology Jul 16, 2025
Ubiquitination is critical in biomedical research. Predicting ubiquitination sites based on deep learning model have advanced the study of ubiquitination. However, traditional supervised model limits in the scenarios where labels are scarcity across ...
Deep Learning Computational Biology Species Specificity Software Humans Animals Lysine Autoencoder Ubiquitination
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Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder.

PloS one Jul 14, 2025
In this study, we present a novel approach to analyzing financial crises of the global stock market by leveraging a modified Autoencoder model based on Recurrent Neural Network (RNN-AE). We analyze time series data from 24 global stock markets betwee...
Models, Economic Autoencoder Investments Recurrent Neural Networks Pandemics Humans COVID-19 Neural Networks, Computer SARS-CoV-2
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