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Hybrid Gene Selection Algorithm for Cancer Classification Using Nuclear Reaction Optimization (NRO) [PDF]

Current Issues in Molecular Biology
Microarray gene expression data are characterized by high dimensionality and small sample sizes, which complicates cancer classification tasks. To address these challenges, this study proposes a hybrid gene selection approach that integrates a filter ...
Shahad Alkamli, Hala Alshamlan
doaj   +2 more sources

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review [PDF]

Bioengineering, 2023
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 ...
Fadi Alharbi, Aleksandar Vakanski
semanticscholar   +1 more source

Firefighting and Cancer: A Meta-analysis of Cohort Studies in the Context of Cancer Hazard Identification

Safety and Health at Work, 2023
Objective: We performed a meta-analysis of epidemiological results for the association between occupational exposure as a firefighter and cancer as part of the broader evidence synthesis work of the IARC Monographs program.
Nathan L. DeBono, Robert D. Daniels, Laura E. Beane Freeman, Judith M. Graber, Johnni Hansen, Lauren R. Teras, Tim Driscoll, Kristina Kjaerheim, Paul A. Demers, Deborah C. Glass, David Kriebel, Tracy L. Kirkham, Roland Wedekind, Adalberto M. Filho, Leslie Stayner, Mary K. Schubauer-Berigan   +15 more
doaj   +1 more source

Understanding the use of evidence in the WHO Classification of Tumours: a protocol for an evidence gap map of the classification of tumours of the lung

BMJ Open, 2022
Introduction There are gaps in the evidence base of tumour classification despite being essential for cancer diagnosis, treatment and patient care. The WHO in charge of the production of an updated international classification, the WHO Classification of ...
Fiona Campbell, Richard Colling, Puay Hoon Tan, Marina Pollán, Stefan Holdenrieder, Magdalena Kowalewska, Ian Cree, Javier del Aguila Mejía, Subasri Armon, Magdalena Chechlinska, Blanca Iciar Indave Ruiz   +10 more
doaj   +1 more source

Prioritizing cancer hazard assessments for IARC Monographs using an integrated approach of database fusion and text mining

Environment International, 2021
Background: Systematic evaluation of literature data on the cancer hazards of human exposures is an essential process underlying cancer prevention strategies. The scope and volume of evidence for suspected carcinogens can range from very few to thousands
Dinesh Kumar Barupal, Mary K. Schubauer-Berigan, Michael Korenjak, Jiri Zavadil, Kathryn Z. Guyton   +4 more
doaj   +1 more source

Machine learning computational tools to assist the performance of systematic reviews: A mapping review

BMC Medical Research Methodology, 2022
Background Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field.
Ramon Cierco Jimenez, Teresa Lee, Nicolás Rosillo, Reynalda Cordova, Ian A Cree, Angel Gonzalez, Blanca Iciar Indave Ruiz   +6 more
doaj   +1 more source

Multivariate and Dimensionality-Reduction-Based Machine Learning Techniques for Tumor Classification of RNA-Seq Data

Applied Sciences, 2023
Cancer, a genetic disease, is considered one of the leading causes of death globally and affects people of all ages. Ribonucleic acid sequencing (RNA-Seq) is a technique used to quantify the expression of genes of interest and can be used to classify ...
Mahmood Al-khassaweneh, Mark Bronakowski, Esraa Al-Sharoa   +2 more
doaj   +1 more source

A New Algorithm for Cancer Biomarker Gene Detection Using Harris Hawks Optimization

Sensors, 2022
This paper presents two novel swarm intelligence algorithms for gene selection, HHO-SVM and HHO-KNN. Both of these algorithms are based on Harris Hawks Optimization (HHO), one in conjunction with support vector machines (SVM) and the other in conjunction
Halah AlMazrua, Hala AlShamlan
doaj   +1 more source

MI_DenseNetCAM: A Novel Pan-Cancer Classification and Prediction Method Based on Mutual Information and Deep Learning Model

Frontiers in Genetics, 2021
The Pan-Cancer Atlas consists of original sequencing data from various sources, provides the opportunity to perform systematic studies on the commonalities and differences between diverse cancers.
Jianlin Wang, Xuebing Dai, Huimin Luo, Chaokun Yan, Ge Zhang, Junwei Luo   +5 more
doaj   +1 more source

Research Progress of Cancer Classification Based on Deep Learning and Histopathological Images

Xiehe Yixue Zazhi, 2021
Accurate classification of cancer is directly related to the choice of treatment options and prognosis. Pathological diagnosis is the gold standard for cancer diagnosis.
YAN Rui, CHEN Limeng, LI Jintao, REN Fei
doaj   +1 more source