17 papers · ranked by Valyu relevance
Hanaa Fathi, Hussain AlSalman, Abdu Gumaei, Ibrahim I. M. Manhrawy + 2 more
'Abdelazim G. Hussien' 'Passent El-Kafrawy'] Cancer can be considered as one of the leading causes of death widely. One of the most effective tools to be able to handle cancer diagnosis, prognosis, and treatment is by using expression profiling technique which is based on microarray gene. For each data point (sample)…
Hatim Z Almarzouki
The quantity of data required to give a valid analysis grows exponentially as machine learning dimensionality increases. In a single experiment, microarrays or gene expression profiling assesses and determines gene expression levels and patterns in various cell types or tissues. The advent of DNA microarray technology…
Vinoth Kumar Venkatesan, Karthick Raghunath Kuppusamy Murugesan, Kaladevi Amarakundhi Chandrasekaran, Mahesh Thyluru Ramakrishna + 4 more
'Kaladevi Amarakundhi Chandrasekaran' 'Mahesh Thyluru Ramakrishna' 'Surbhi Bhatia Khan' 'Ahlam Almusharraf' 'Abdullah Albuali' 'Edward J. Pavlik'] Prompt diagnostics and appropriate cancer therapy necessitate the use of gene expression databases. The integration of analytical methods can enhance detection precision by…
M. Kalaiyarasi, Harikumar Rajaguru
The most common gynecologic cancer, behind cervical and uterine, is ovarian cancer. Ovarian cancer is a severe concern for women. Abnormal cells form and spread throughout the body. Ovarian cancer microarray data can diagnose and prognosis. Typically, ovarian cancer microarray data contains tens of thousands of genes.…
Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari + 6 more
'Azurah A. Samah' 'Zuraini Binti Ali Shah' 'Norfadzlan Bin Yusup' 'Rozita Abdul Jalil' 'Azizah Mohamad' 'Nurulhuda Firdaus Mohd Azmi'] This review systematically summarizes recent advances in microarray feature selection techniques and their applications in biomedical research. It addresses the challenges posed by the…
Fadi Alharbi, Aleksandar Vakanski, Larbi Boubchir
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells that can spread in different parts of the body. According to the World Health Organization (WHO), cancer is the second major cause of death after cardiovascular diseases. Gene expression can play a fundamental role in the early…
Koichiro Inaki, Tomoko Shibutani, Naoyuki Maeda, Serenella Eppenberger-Castori + 7 more
'Serenella Eppenberger-Castori' 'Stefan Nicolet' 'Yuki Kaneda' 'Kumiko Koyama' 'Yang Qiu' 'Kenichi Wakita' 'Masato Murakami' 'Avaniyapuram Kannan Murugan'] Molecular and protein biomarker profiling are key to oncology drug development. Antibody-drug conjugates (ADCs) directly deliver chemotherapeutic agents into tumor…
Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad + 2 more
Cancer is the top cause of death worldwide, and machine learning (ML) has made an indelible mark on the field of early cancer detection, thereby lowering the death toll. ML-based model for cancer diagnosis is done using two forms of data: gene expression data and microarray data. The data on gene expression levels…
Arshad Hashmi, Waleed Ali, Anas Abulfaraj, Faisal Binzagr + 2 more
'Entisar Alkayal' 'Jason Roszik'] Title: Simple Summary To improve cancer classification performance for high-dimensional microarray datasets, this work proposes combining filter and differential evolutionary (DE) algorithm feature selection techniques. By scoring genes or features of high-dimensional microarray…
Jingeun Kim, Yourim Yoon, Hye-Jin Park, Yong-Hyuk Kim + 1 more
Microarrays are applications of electrical engineering and technology in biology that allow simultaneous measurement of expression of numerous genes, and they can be used to analyze specific diseases. This study undertakes classification analyses of various microarrays to compare the performances of classification…
Joe W. Chen, Joseph Dhahbi, Surinder K. Batra
GSE113740, GSE112264, GSE106817, GSE113486 datasets were obtained from GEO . These datasets were all part of the Japan Initiative to sequence cancer transcriptome via microarray. As a result, each of these studies was originally part of a larger dataset that was split into smaller datasets for analytical purposes.…
Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Ala’ Abdulmajid Eshmawi + 3 more
'Ala’ Abdulmajid Eshmawi' 'Shtwai Alsubai' 'Tai-hoon Kim' 'Imran Ashraf'] Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment. The present diagnostic method, which involves a battery of tests and medical experts, is costly and…
Won-Ji Kim, Bo Ram Choi, Joseph J. Noh, Yoo-Young Lee + 4 more
Gene expression profiling using RNA-sequencing (RNA-seq) and microarray technologies is widely used in cancer research to identify biomarkers for clinical endpoint prediction. We compared the performance of these two methods in predicting protein expression and clinical endpoints using The Cancer Genome Atlas (TCGA)…
Zehwan Kim, Jaebon Lee, Ye Eun Yoon, Jae Won Yun + 1 more
'Peter J. K. Kuppen'] Because cancer is a leading cause of death and is thought to be caused by genetic errors or genomic instability in many circumstances, there have been studies exploring cancer’s genetic basis using microarray and RNA-seq methods, linking gene expression data to patient survival. This research…
Alexander Muacevic, John R Adler, Soya Oda, Yukiko Tokuda + 10 more
'Yuki Suzuki' 'Masahiro Yanagawa' 'Yoshiaki Sota' 'Yasuto Naoi' 'Yuichi Motoyama' 'Eiichi Morii' 'Kenzo Shimazu' 'Shoji Kido' 'Noriyuki Tomiyama' 'Masatoshi Hori'] Objectives: Given the variable pathological complete response (pCR) rate of neoadjuvant chemotherapy (NAC) in patients with breast cancer, identifying…
Alexander Muacevic, John R Adler, Vidya Maheswari Nelakurthi, Priyanka Paul + 1 more
'Priyanka Paul' 'Amit Reche'] Bioinformatics is a pretty recent branch of biology that encompasses the use of algebraic, analytic, and computing approaches to the processing and interpretation of biological information. A wide term, "bioinformatics" refers to the use of digital technology to study biological processes…
Claire Stevens, Alexandria Hightower, Sarah G. Buxbaum, Sara M. Falzarano + 1 more
'Sara M. Falzarano' 'Suhn K. Rhie'] Prostate cancer is the second most common cancer in men in the United States, and racial disparities are greatly observed in the disease. Specifically, African American (AA) patients have 60% higher incidence and mortality rates, in addition to higher grade and stage prostate tumors…