AIMC Topic: Computational Biology
Clear Filters Showing 441 to 450 of 4269 articles
Deep representation learning of protein-protein interaction networks for enhanced pattern discovery.
Science advances
Dec 18, 2024
Protein-protein interaction (PPI) networks, where nodes represent proteins and edges depict myriad interactions among them, are fundamental to understanding the dynamics within biological systems. Despite their pivotal role in modern biology, reliabl...
Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways.
European journal of medical research
Dec 18, 2024
BACKGROUND: Pyroptosis, a specific type of programmed cell death, which has become a significant factor to Parkinson's disease (PD). Concurrently, long non-coding RNAs (lncRNAs) have garnered attention for their regulatory roles in neurodegenerative ...
Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction.
BMC bioinformatics
Dec 18, 2024
The evaluation of drug-gene-disease interactions is key for the identification of drugs effective against disease. However, at present, drugs that are effective against genes that are critical for disease are difficult to identify. Following a diseas...
DeepMiRBP: a hybrid model for predicting microRNA-protein interactions based on transfer learning and cosine similarity.
BMC bioinformatics
Dec 18, 2024
BACKGROUND: Interactions between microRNAs and RNA-binding proteins are crucial for microRNA-mediated gene regulation and sorting. Despite their significance, the molecular mechanisms governing these interactions remain underexplored, apart from sequ...
NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface.
BMC bioinformatics
Dec 18, 2024
BACKGROUND: Vaccines development in this millennium started by the milestone work on Neisseria meningitidis B, reporting the invention of Reverse Vaccinology (RV), which allows to identify vaccine candidates (VCs) by screening bacterial pathogens gen...
Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis.
Journal of orthopaedic surgery and research
Dec 18, 2024
BACKGROUND: Osteoarthritis (OA) is a common cause of disability among the elderly, profoundly affecting quality of life. This study aims to leverage bioinformatics and machine learning to develop an artificial neural network (ANN) model for diagnosin...
ProtChat: An AI Multi-Agent for Automated Protein Analysis Leveraging GPT-4 and Protein Language Model.
Journal of chemical information and modeling
Dec 17, 2024
Large language models (LLMs) have transformed natural language processing, enabling advanced human-machine communication. Similarly, in computational biology, protein sequences are interpreted as natural language, facilitating the creation of protein...
Hither-CMI: Prediction of circRNA-miRNA Interactions Based on a Hybrid Multimodal Network and Higher-Order Neighborhood Information via a Graph Convolutional Network.
Journal of chemical information and modeling
Dec 17, 2024
Numerous studies show that circular RNA (circRNA) functions as a sponge for microRNA (miRNA), significantly regulating gene expression by interacting with miRNA, which in turn affects the progression of human diseases. Traditional experimental approa...
Identification and validation of the nicotine metabolism-related signature of bladder cancer by bioinformatics and machine learning.
Frontiers in immunology
Dec 17, 2024
BACKGROUND: Several studies indicate that smoking is one of the major risk factors for bladder cancer. Nicotine and its metabolites, the main components of tobacco, have been found to be strongly linked to the occurrence and progression of bladder ca...
Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selection.
Computers in biology and medicine
Dec 14, 2024
In recent years, gene expression data analysis has gained growing significance in the fields of machine learning and computational biology. Typically, microarray gene datasets exhibit a scenario where the number of features exceeds the number of samp...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31261
- Neural Networks, Computer 29817
- Algorithms 26965
- Deep Learning 26491
- Artificial Intelligence 24413
- Robotics 13329
- Image Processing, Computer-Assisted 9578
- Retrospective Studies 9155
- Magnetic Resonance Imaging 6213
- Reproducibility of Results 5605
- Tomography, X-Ray Computed 4792
- Support Vector Machine 4705
- Computational Biology 4266
- Brain 4057
- Computer Simulation 3891
Recent Journals
- Scientific reports 6215
- Sensors (Basel, Switzerland) 4794
- PloS one 4077
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1144
- Journal of chemical information and modeling 1019
- Nature communications 971
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 863
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 831