Meta-2OM: a multi-classifier meta-model for the accurate prediction of RNA 2′-O-methylation sites in human RNA
2′-O-methylation (2-OM or Nm) is a widespread RNA modification observed in various
RNA types like tRNA, mRNA, rRNA, miRNA, piRNA, and snRNA, which plays a crucial role …
RNA types like tRNA, mRNA, rRNA, miRNA, piRNA, and snRNA, which plays a crucial role …
An improved hashing approach for biological sequence to solve exact pattern matching problems
P Mahmud, A Rahman… - … Intelligence and Soft …, 2023 - Wiley Online Library
Pattern matching algorithms have gained a lot of importance in computer science, primarily
because they are used in various domains such as computational biology, video retrieval …
because they are used in various domains such as computational biology, video retrieval …
An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides
RRO Al-Nima, MMM Al-Hatab… - Journal of Electrical and …, 2023 - Wiley Online Library
Deoxyribonucleic acid (DNA) can be considered as one of the most useful biometrics. It has
effectively been used for recognizing persons. However, it seems that there is still a need to …
effectively been used for recognizing persons. However, it seems that there is still a need to …
A comprehensive learning based swarm optimization approach for feature selection in gene expression data
S Easwaran, JP Venugopal, AAV Subramanian… - Heliyon, 2024 - cell.com
Gene expression data analysis is challenging due to the high dimensionality and complexity
of the data. Feature selection, which identifies relevant genes, is a common preprocessing …
of the data. Feature selection, which identifies relevant genes, is a common preprocessing …
Dna pattern matching algorithms within sorghum bicolor genome: A comparative study
Sorghum bicolor, a vital cereal crop with significant roles in agriculture and biofuel
production, presents a complex genome that poses substantial challenges for genetic …
production, presents a complex genome that poses substantial challenges for genetic …
Privacy-preserving blockchain-based federated learning for brain tumor segmentation
Improved data sharing between healthcare providers can lead to a higher probability of
accurate diagnosis, more effective treatments, and enhanced capabilities of healthcare …
accurate diagnosis, more effective treatments, and enhanced capabilities of healthcare …
A novel preference-driven evolutionary algorithm for dynamic multi-objective problems
Most studies in dynamic multi-objective optimization have predominantly focused on rapidly
and accurately tracking changes in the Pareto optimal front (POF) and Pareto optimal set …
and accurately tracking changes in the Pareto optimal front (POF) and Pareto optimal set …
[HTML][HTML] Attention over vulnerable brain regions associating cerebral palsy disorder and biological markers
Introduction: Cerebral palsy (CP) is a neurological disorder caused by cerebral ischemia
and hypoxia during fetal brain development. Early intervention in CP favors medications and …
and hypoxia during fetal brain development. Early intervention in CP favors medications and …
[HTML][HTML] Bayesian dynamic modelling for probabilistic prediction of pavement condition
Significant funds have been allocated to maintain road networks each year in developed
countries. Performance prediction is crucial for pavement management systems to adjust …
countries. Performance prediction is crucial for pavement management systems to adjust …
[HTML][HTML] TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7 …
S Zhang, Y Xu, Y Liang - Computational and Structural Biotechnology …, 2024 - Elsevier
Abstract RNA N7-methylguanosine (m7G) is a crucial chemical modification of RNA
molecules, whose principal duty is to maintain RNA function and protein translation …
molecules, whose principal duty is to maintain RNA function and protein translation …