Article

An effective heuristic for developing hybrid feature selection in high dimensional and low sample size datasets

2024-12-16

Abstract excerpt

<title>Abstract</title> <p>Background. High-dimensional datasets with low sample sizes (HDLSS) are pivotal in the fields of biology and bioinformatics. One of core objective of HDLSS is to select most informative features and discarding redundant or irrelevant features. This is particularly crucial in bioinformatics, where accurate feature (gene) selection can lead to breakthroughs in drug development and provid...

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Literature Corpus work: 7e94f0a0-a033-52d8-9e10-19bac1f0f454
DOI: 10.21203/rs.3.rs-5260669/v1

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