Automated detection of cancerous genomic sequences using genomic signal processing and machine learning

DW Liu, RP Jia, CF Wang, N Arunkumar… - Future Generation …, 2019 - Elsevier
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 …

[HTML][HTML] Automated detection of colon cancer using genomic signal processing

SM Naeem, MS Mabrouk, MA Eldosoky… - Egyptian Journal of …, 2021 - Springer
Background Disorders in deoxyribonucleic acid (DNA) mutations are the common cause of
colon cancer. Detection of these mutations is the first step in colon cancer diagnosis …

[PDF][PDF] Prediction and identification of cancerous cells using genomic signal processing

R Jindal, B Banerji, D Grover - Int J Res in Eng IT Soc Sci, 2015 - indusedu.org
The genomic signal processing is fast developing area in cancer genome research
nowadays. Digital Signal Processing (DSP) applications plays important role in genomic …

A pattern recognition model to distinguish cancerous DNA sequences via signal processing methods

A Khodaei, MR Feizi-Derakhshi… - Soft Computing, 2020 - Springer
Cancer is one of the life-threatening diseases caused by changes in the structure of genetic
components of the cell. DNA sequences are one of the most important factors in the …

Genome Sequence Identification Using Neural Network for Breast Cancer Diagnosis

A Gupta, S Sharma - 2023 3rd Asian Conference on Innovation …, 2023 - ieeexplore.ieee.org
The disease that strikes women the most commonly worldwide is breast cancer. According
to the International Agency for Research on Cancer, 685,000 women will pass away from …

DWT based cancer identification using EIIP

S Chakraborty, V Gupta - 2016 second international …, 2016 - ieeexplore.ieee.org
Nowadays, the challenges facing by researchers is to classify the cancer disease accurately
without involving biological experiments so that early treatment is possible. With the recent …

[PDF][PDF] An Optimized Classification of Human Cancer Disease for Gene Expression Data

K Yamunadevi, R Nagaraj - International Journal of Advance …, 2018 - academia.edu
Classification of cancer is determined the appropriate treatment and helps to determine the
prognosis. The Existing System was presented to classify the human cancer diseases …

A Naïve Approach for Mutation Detection Using Color Encodings and String Matching Techniques

MT Nikhil, K Jaswanth, MSS Siddhartha… - … Conference on Frontiers …, 2022 - Springer
Genome sequencing is one of the key areas of research that helps analyze the genome and
contributes to the diagnosis of various diseases like cancer, Ebola virus, covid, etc. There …

Classifying cancer patients based on DNA sequences using machine learning

F Hussain, U Saeed, G Muhammad… - Journal of Medical …, 2019 - ingentaconnect.com
This paper analyzes the DNA sequences of cancer patients using machine learning
techniques. Cancer is one of the most prevalent and painful diseases of modern era, in …

Automated genomic signal processing for diseased gene identification

T Shen, Y Nagai, M Udayakumar… - Journal of Medical …, 2019 - ingentaconnect.com
Genomic signal processing (GSP) is the engineering discipline for the analysis, processing,
and use of genomic signals to gain biological knowledge, and the translation of that …