Assessing Different Feature Selection Methods Applied to a Bulk RNA Sequencing Dataset with Regard to Biomedical Relevance-Reference-Cited by-同舟云学术

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Assessing Different Feature Selection Methods Applied to a Bulk RNA Sequencing Dataset with Regard to Biomedical Relevance

Published:2023 Issue: Volume: Page:259-274
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Zhakparov Damir,Moriarty Kathleen,Lunjani Nonhlanhla,Schmid Marco,Hlela Carol,Levin Michael,Mankahla Avumile,Consortium SOS-ALL,Akdis Cezmi,O’Mahony Liam,Baerenfaller Katja,Roqueiro Damian

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23633-4_18

Reference31 articles.

1. Arabkhazaeli, A., et al.: The association between a genetic risk score for allergy and the risk of developing allergies in childhood-Results of the WHISTLER cohort. Pediatr. Allergy Immunol. 29(1), 72–77 (2018)

2. Arowolo, M.O., Adebiyi, M.O., Aremu, C., Adebiyi, A.A.: A survey of dimension reduction and classification methods for RNA-SEQ data on malaria vector. J. Big Data 8, 50 (2021)

3. Cilia, N., Stefano, C.D., Fontanella, F., Raimondo, S., di Freca, A.S.: An experimental comparison of feature-selection and classification methods for microarray datasets. Information 10, 109 (2019)

4. Clark, H., et al.: Differential associations of allergic disease genetic variants with developmental profiles of eczema, wheeze and rhinitis. Clin. Exp. Allergy 49(11), 1475–1486 (2019)

5. Daya, M., Barnes, K.C.: African American ancestry contribution to asthma and atopic dermatitis. Ann. Allergy Asthma Immunol. 122, 456–462 (2019)

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