An experimental comparison of feature selection methods on two-class biomedical datasets

Computers in Biology and Medicine
P DrotárZ Smékal

Abstract

Feature selection is a significant part of many machine learning applications dealing with small-sample and high-dimensional data. Choosing the most important features is an essential step for knowledge discovery in many areas of biomedical informatics. The increased popularity of feature selection methods and their frequent utilisation raise challenging new questions about the interpretability and stability of feature selection techniques. In this study, we compared the behaviour of ten state-of-the-art filter methods for feature selection in terms of their stability, similarity, and influence on prediction performance. All of the experiments were conducted on eight two-class datasets from biomedical areas. While entropy-based feature selection appears to be the most stable, the feature selection techniques yielding the highest prediction performance are minimum redundance maximum relevance method and feature selection based on Bhattacharyya distance. In general, univariate feature selection techniques perform similarly to or even better than more complex multivariate feature selection techniques with high-dimensional datasets. However, with more complex and smaller datasets multivariate methods slightly outperform univariate ...Continue Reading

References

Dec 26, 2003·The New England Journal of Medicine·Erming TianJohn D Shaughnessy
Aug 27, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Hanchuan PengChris Ding
Jan 27, 2006·The Journal of Molecular Diagnostics : JMD·Dondapati ChowdaryAbhijit Mazumder
Apr 6, 2006·Proceedings of the National Academy of Sciences of the United States of America·Liat Ein-DorEytan Domany
Jun 13, 2006·Neural Computation·Geoffrey E HintonYee-Whye Teh
Jun 30, 2006·IEEE Transactions on Nanobioscience·Bing LiuLipo Wang
Jul 29, 2006·Science·G E Hinton, R R Salakhutdinov
Oct 19, 2006·IEEE/ACM Transactions on Computational Biology and Bioinformatics·Vincent S Tseng, Ching-Pin Kao
Feb 6, 2007·IEEE/ACM Transactions on Computational Biology and Bioinformatics·Lipo WangWei Xie
Apr 14, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yijun Sun
Aug 28, 2007·Bioinformatics·Yvan SaeysPedro Larrañaga
Mar 13, 2008·IEEE Transactions on Nanobioscience·S A SalemA K Nandi
Aug 4, 2009·Computers in Biology and Medicine·Yihui Liu
Aug 13, 2010·Computational Biology and Chemistry·Zengyou He, Weichuan Yu
Sep 18, 2010·IEEE Transactions on Pattern Analysis and Machine Intelligence·Petr Somol, Jana Novovicová
Dec 18, 2012·Bioinformatics·Davide AlbaneseCesare Furlanello
Dec 11, 2013·BioMed Research International·Nicoletta DessìBarbara Pes
Jun 22, 2014·Computers in Biology and Medicine·Semih Ergin, Onur Kilinc

❮ Previous
Next ❯

Citations

Jan 3, 2019·Journal of the American Medical Informatics Association : JAMIA·Xing SongMei Liu
Dec 19, 2019·Journal of Research in Medical Sciences : the Official Journal of Isfahan University of Medical Sciences·Saeedeh PourahmadHosseinali Khalili
Jun 23, 2021·Medical Engineering & Physics·Eduardo de Mendonça MesquitaMarcus Fraga Vieira

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.

Related Papers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Qi Mao, Ivor W Tsang
AMIA ... Annual Symposium Proceedings
Jonathan L LustgartenShyam Visweswaran
Computational Intelligence and Neuroscience
Kai ZengXinzheng Niu
© 2021 Meta ULC. All rights reserved