DNA sequence classification is an important challenge in genomic studies due to non-linear
and chaotic behavior of DNA oxidation signals of Adenine, Cytosine, Guanine, and Thymine …

Missense mutations are the primary cause of cancer. Identification of mutation in gene
sequences is the preliminary step in diagnosis of cancer. In order to identify mutation we …

This study presents a comprehensive evaluation of seven machine learning models applied
to the classification of human DNA sequences, highlighting their performance and potential …

Advanced scientific community of the 21st century uses comprehensive and complex data
structures of Next Generation Sequencing (NGS) datasets to decipher the genome for …

The ability to decipher the genetic code of different species would lead to significant future
scientific achievements in important areas, including medicine and agriculture. The …

In the field of medical information research, the genetic series is widely used as a
component of a category. One of the applications of ML is biochemistry. Bioinformatics is an …

The deep learning arena explores new dimensions once considered impossible to human
intelligence. Recently, it has taken footsteps in the biological data world to deal with the …

Recently, deep learning (DL) became one of the essential tools in bioinformatics. A modified
convolutional neural network (CNN) is employed in this paper for building an integrated …

Accurate classification of cancer plays an important role for cancer treatment. The
advancement of microarray technologies improves the accuracy of cancer diagnosis …

This research paper is about to perform sequence and classification on DNA Sequence
using machine learning. Genomics is a branch of molecular biology focused on studying all …