[HTML][HTML] Feature selection methods and genomic big data: a systematic review

K Tadist, S Najah, NS Nikolov, F Mrabti, A Zahi - Journal of Big Data, 2019 - Springer
In the era of accelerating growth of genomic data, feature-selection techniques are believed
to become a game changer that can help substantially reduce the complexity of the data …

Towards efficient data valuation based on the shapley value

R Jia, D Dao, B Wang, FA Hubis… - The 22nd …, 2019 - proceedings.mlr.press
Abstract {\em “How much is my data worth?”} is an increasingly common question posed by
organizations and individuals alike. An answer to this question could allow, for instance …

Diagnosis of chronic kidney disease based on support vector machine by feature selection methods

H Polat, H Danaei Mehr, A Cetin - Journal of medical systems, 2017 - Springer
Abstract As Chronic Kidney Disease progresses slowly, early detection and effective
treatment are the only cure to reduce the mortality rate. Machine learning techniques are …

Swarm intelligence algorithms in gene selection profile based on classification of microarray data: a review

A Jahwar, N Ahmed - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Microarray data plays a major role in diagnosing and treating cancer. In several microarray
data sets, many gene fragments are not associated with the target diseases. A solution to the …

Classification of DNA microarrays using artificial neural networks and ABC algorithm

BA Garro, K Rodríguez, RA Vázquez - Applied Soft Computing, 2016 - Elsevier
DNA microarray is an efficient new technology that allows to analyze, at the same time, the
expression level of millions of genes. The gene expression level indicates the synthesis of …

Gene selection using hybrid multi-objective cuckoo search algorithm with evolutionary operators for cancer microarray data

MS Othman, SR Kumaran, LM Yusuf - IEEE Access, 2020 - ieeexplore.ieee.org
Microarray data play a huge role in recognizing a proper cancer diagnosis and
classification. In most microarray data set consist of thousands of genes, but the majority …

[HTML][HTML] Modified bat algorithm for feature selection with the wisconsin diagnosis breast cancer (WDBC) dataset

S Jeyasingh, M Veluchamy - Asian Pacific journal of cancer …, 2017 - ncbi.nlm.nih.gov
Early diagnosis of breast cancer is essential to save lives of patients. Usually, medical
datasets include a large variety of data that can lead to confusion during diagnosis. The …

A fuzzy multi-objective hybrid TLBO–PSO approach to select the associated genes with breast cancer

S Shahbeig, MS Helfroush, A Rahideh - Signal processing, 2017 - Elsevier
When the genes associated with breast cancer are mutated, they may not function normally
and breast cancer risk increases. Therefore the method that among huge number of …

Artificial neural network classification of microarray data using new hybrid gene selection method

R Aziz, CK Verma, M Jha… - International Journal of …, 2017 - inderscienceonline.com
This paper proposed a new combination of feature selection/extraction approach for Artificial
Neural Networks (ANNs) classification of high-dimensional microarray data, which uses an …

Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine

MD de Lima, J de Oliveira Roque e Lima… - Medical & Biological …, 2020 - Springer
Early diagnosis and treatment are the most important strategies to prevent deaths from
several diseases. In this regard, data mining and machine learning techniques have been …