专题：Fractal and DNA sequence analysis

This cluster of papers focuses on the application of signal processing techniques to analyze genomic data, including DNA sequences and protein sequences. It explores methods such as graphical representation, numerical characterization, chaos game representation, wavelet analysis, periodicity analysis, and fractal analysis. The cluster also delves into the use of machine learning for genomic signal processing.
最新文献
近5年高被引文献
plotsr: visualizing structural similarities and rearrangements between multiple genomes

article Full Text OpenAlex 353 FWCI51.2738

Resource Allocation for Text Semantic Communications

article Full Text OpenAlex 304 FWCI29.7018

Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

article Full Text OpenAlex 285 FWCI26.061

An investigation across 45 languages and 12 language families reveals a universal language network

article Full Text OpenAlex 264 FWCI24.0089

StainedGlass: interactive visualization of massive tandem repeat structures with identity heatmaps

article Full Text OpenAlex 189 FWCI14.9892

NGenomeSyn: an easy-to-use and flexible tool for publication-ready visualization of syntenic relationships across multiple genomes

article Full Text OpenAlex 169 FWCI15.4792

A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT

article Full Text OpenAlex 149 FWCI19.0782

Evaluation of Acupuncture Efficacy in Modulating Brain Activity With Periodic-Aperiodic EEG Measurements

article Full Text OpenAlex 149 FWCI34.1551

Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images

article Full Text OpenAlex 143 FWCI17.1746

Design and realization of discrete memristive hyperchaotic map with application in image encryption

article Full Text OpenAlex 138 FWCI10.3594