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 …

Recently, deep learning has opened a remarkable research direction in the track of
bioinformatics, especially for the applications that need classification and regression. With …

The classification of DNA sequences is a key research area in bioinformatics as it enables
researchers to conduct genomic analysis and detect possible diseases. In this paper, three …

Deep learning (DL) methods have beenachieving amazing results in solving a variety
ofproblems in many different fields especially in the areaof big data. With the advances of …

In recent years, a deep learning model called convolutional neural network with an ability of
extracting features of high-level abstraction from minimum preprocessing data has been …

Background: Chromosomal DNA contains most of the genetic information of eukaryotes and
plays an important role in the growth, development and reproduction of living organisms …

The COVID-19 pandemic declared by the World Health Organization in March 2020 is a
global challenge. This has drawn research interest in various fields, such as drug design …

Deep learning neural networks are capable to extract significant features from raw data, and
to use these features for classification tasks. In this work we present a deep learning neural …

In the bioinformatics field, the classification of unknown biological sequences is a key task
that is fundamental for simplifying the consistency, aggregation, and survey of organisms …

In recent years, the ability of feature extraction of deep learning models has increased. This
ability is used to extract high-level features from minimum pre-processing. We have used …