AI Medical Compendium Journal:
IEEE/ACM transactions on computational biology and bioinformatics

Showing 31 to 40 of 544 articles

Generative Adversarial Network-Based Augmentation With Noval 2-Step Authentication for Anti-Coronavirus Peptide Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
The virus poses a longstanding and enduring danger to various forms of life. Despite the ongoing endeavors to combat viral diseases, there exists a necessity to explore and develop novel therapeutic options. Antiviral peptides are bioactive molecules...
Peptides Humans Antiviral Agents Computational Biology Neural Networks, Computer Generative Adversarial Networks Deep Learning
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Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
One of the primary tasks in the early stages of data mining involves the identification of entities from biomedical corpora. Traditional approaches relying on robust feature engineering face challenges when learning from available (un-)annotated data...
Data Mining Datasets as Topic Computational Biology Natural Language Processing Biomedical Research Convolutional Neural Networks
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Employing Machine Learning Techniques to Detect Protein Function: A Survey, Experimental, and Empirical Evaluations.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
This review article delves deeply into the various machine learning (ML) methods and algorithms employed in discerning protein functions. Each method discussed is assessed for its efficacy, limitations, potential improvements, and future prospects. W...
Algorithms Computational Biology Proteins Humans Machine Learning Databases, Protein
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Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Deep learning approaches, such as convolution neural networks (CNNs) and deep recurrent neural networks (RNNs), have been the backbone for predicting protein function, with promising state-of-the-art (SOTA) results. RNNs with an in-built ability (i) ...
Computational Biology Proteins Sequence Analysis, Protein Databases, Protein Algorithms Deep Learning Neural Networks, Computer
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Improved Fuzzy Cognitive Maps for Gene Regulatory Networks Inference Based on Time Series Data.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Microarray data provide lots of information regarding gene expression levels. Due to the large amount of such data, their analysis requires sufficient computational methods for identifying and analyzing gene regulation networks; however, researchers ...
Humans Algorithms Computational Biology Gene Regulatory Networks Fuzzy Logic Gene Expression Profiling
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Graph Convolutional Network With Self-Supervised Learning for Brain Disease Classification.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Brain functional network (BFN) analysis has become a popular method for identifying neurological diseases at their early stages and revealing sensitive biomarkers related to these diseases. Due to the fact that BFN is a graph with complex structure, ...
Brain Diseases Computational Biology Supervised Machine Learning Brain Cognitive Dysfunction Humans Neural Networks, Computer Databases, Factual Autism Spectrum Disorder Algorithms
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Ense-i6mA: Identification of DNA N-Methyladenine Sites Using XGB-RFE Feature Selection and Ensemble Machine Learning.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
DNA N-methyladenine (6mA) is an important epigenetic modification that plays a vital role in various cellular processes. Accurate identification of the 6mA sites is fundamental to elucidate the biological functions and mechanisms of modification. How...
DNA Drosophila melanogaster Sequence Analysis, DNA DNA Methylation Adenine Arabidopsis Machine Learning Animals Computational Biology Algorithms
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Intra-Inter Graph Representation Learning for Protein-Protein Binding Sites Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Graph neural networks have drawn increasing attention and achieved remarkable progress recently due to their potential applications for a large amount of irregular data. It is a natural way to represent protein as a graph. In this work, we focus on p...
Neural Networks, Computer Machine Learning Algorithms Ligands Binding Sites Proteins Databases, Protein Protein Binding Computational Biology
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SAGCN: Using Graph Convolutional Network With Subgraph-Aware for circRNA-Drug Sensitivity Identification.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Circular RNAs (circRNAs) play a significant role in cancer development and therapy resistance. There is substantial evidence indicating that the expression of circRNAs affects the sensitivity of cells to drugs. Identifying circRNAs-drug sensitivity a...
Computational Biology RNA, Circular Neoplasms Neural Networks, Computer Antineoplastic Agents Algorithms Humans
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Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Biomedical relation extraction aims to identify underlying relationships among entities, such as gene associations and drug interactions, within biomedical texts. Despite advancements in relation extraction in general knowledge domains, the scarcity ...
Humans Computational Biology Supervised Machine Learning Data Mining Algorithms Databases, Factual
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