17 papers · ranked by Valyu relevance
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…
Nikita Bhandari, Rahee Walambe, Ketan Kotecha, Satyajeet P. Khare
Computational analysis methods including machine learning have a significant impact in the fields of genomics and medicine. High-throughput gene expression analysis methods such as microarray technology and RNA sequencing produce enormous amounts of data. Traditionally, statistical methods are used for comparative…
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…
Sadam Al-Azani, Omer S. Alkhnbashi, Emad Ramadan, Motaz Alfarraj + 1 more
'Yuriy L. Orlov'] Cancer is a leading cause of death globally. The majority of cancer cases are only diagnosed in the late stages of cancer due to the use of conventional methods. This reduces the chance of survival for cancer patients. Therefore, early detection consequently followed by early diagnoses are important…
Rajul Mahto, Saboor Uddin Ahmed, Rizwan ur Rahman, Rabia Musheer Aziz + 4 more
'Rabia Musheer Aziz' 'Priyanka Roy' 'Saurav Mallik' 'Aimin Li' 'Mohd Asif Shah'] Cancer prediction in the early stage is a topic of major interest in medicine since it allows accurate and efficient actions for successful medical treatments of cancer. Mostly cancer datasets contain various gene expression levels as…
Kai Liu, Qi Chen, Guo-Hua Huang, Stefano Lonardi
Gene families, which are parts of a genome’s information storage hierarchy, play a significant role in the development and diversity of multicellular organisms. Several studies have focused on the characteristics of gene families, such as function, homology, or phenotype. However, statistical and correlation analyses…
Luca Zanella, Pierantonio Facco, Fabrizio Bezzo, Elisa Cimetta + 1 more
'Susan Costantini'] The classification of high dimensional gene expression data is key to the development of effective diagnostic and prognostic tools. Feature selection involves finding the best subset with the highest power in predicting class labels. Here, we conducted a comparative study focused on different…
Karthika M S, Harikumar Rajaguru, Ajin R. Nair, Antonio Brunetti
Microarray gene expression-based detection and classification of medical conditions have been prominent in research studies over the past few decades. However, extracting relevant data from the high-volume microarray gene expression with inherent nonlinearity and inseparable noise components raises significant…
Gerard P. Quinn, Tamas Sessler, Baharak Ahmaderaghi, Shauna Lambe + 6 more
Background Transcriptionally informed predictions are increasingly important for sub-typing cancer patients, understanding underlying biology and to inform novel treatment strategies. For instance, colorectal cancers (CRCs) can be classified into four CRC consensus molecular subgroups (CMS) or five intrinsic (CRIS)…
Ajin R. Nair, Harikumar Rajaguru, M. S. Karthika, C. Keerthivasan
The microarray gene expression data poses a tremendous challenge due to their curse of dimensionality problem. The sheer volume of features far surpasses available samples, leading to overfitting and reduced classification accuracy. Thus the dimensionality of microarray gene expression data must be reduced with…
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…
Kalaiyarasi Mani, Harikumar Rajaguru
Prostate cancer is a major world health problem for men. This shows how important early detection and accurate diagnosis are for better treatment and patient outcomes. This study compares different ways to find Prostate Cancer (PCa) and label tumors as normal or abnormal, with the goal of speeding up current work in…
Giuseppe Agapito, Marianna Milano, Mario Cannataro, Quan Zou
Gene expression and SNPs data hold great potential for a new understanding of disease prognosis, drug sensitivity, and toxicity evaluations. Cluster analysis is used to analyze data that do not contain any specific subgroups. The goal is to use the data itself to recognize meaningful and informative subgroups. In…
Giedrius Steponaitis, Vytautas Kucinskas, Ieva Golubickaite, Kestutis Skauminas + 2 more
'Kestutis Skauminas' 'Ausra Saudargiene' 'Cristina Peña'] Most glioblastoma studies incorporate the layer of tumor molecular subtype based on the four-subtype classification system proposed in 2010. Nevertheless, there is no universally recognized and convenient tool for glioblastoma molecular subtyping, and each study…
Mahmoud M. Abdelwahab, Khamis A. Al-Karawi, Hatem E. Semary, Natalia V. Gulyaeva
'Natalia V. Gulyaeva'] Alzheimer’s disease is a genetically complex disorder, and microarray technology provides valuable insights into it. However, the high dimensionality of microarray datasets and small sample sizes pose challenges. Gene selection techniques have emerged as a promising solution to this challenge…
Sunil Kumar Prabhakar, Semin Ryu, In cheol Jeong, Dong-Ok Won
One of the major reasons of mortality in human beings is cancer, and there is an absolute necessity for doctors to identify and treat a person suffering from it. Leukemia is a group of blood cancers that usually originates in the bone marrow and results in very high number of abnormal cells. For the diagnosis of…