Fractal and DNA sequence analysis

The paper uses a neural network to classify natural versus random protein sequences based on hydropathy time series analysis, achieving 88% accuracy.

MLDSP-GUI is an open-source, alignment-free tool for DNA sequence comparison and analysis, offering taxonomic and evolutionary applications.

The paper introduces the Magnus Representation, an alignment-free method for analyzing genome sequences, and applies it to phylogenetic analysis of viruses and bacteria, confirming known relationships and classifications.

This study compares machine learning methods for protein sequence classification using FCGR encoding, finding that deep neural networks outperform others.

This paper introduces a nonlinear genomic-inspired multiscale bilateral filtering method for short exon prediction, showing significant improvements in exon length prediction across multiple ranges.

The paper investigates whether hub genes and their neighbors in Alzheimer’s disease subnetworks show chemical proximity in DNA sequences and amino acid properties.

The paper shows symmetry and structure in genetic sequences arise from the same biological processes and presents a model validated on human genomes.

The paper introduces SPADE, a software that detects periodic DNA and protein repeats in large genomic datasets with high-throughput and unsupervised methods, outperforming existing tools.

The paper analyzes the distribution of purines and pyrimidines in miRNAs across human, gorilla, and chimpanzee, identifying non-random patterns and clustering based on quantitative metrics.