AI-driven Q-learning for personalized acne genetics: Innovative approaches and potential genetic markers
Author:
Funder
Sultan Mizan Antarctic Research Foundation
Ministry of Education Malaysia
Universiti Teknologi Malaysia
United Arab Emirates University
Universiti Kebangsaan Malaysia
Universiti Malaysia Kelantan
Ministry of Higher Education, Malaysia
Publisher
Elsevier BV
Reference40 articles.
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3. Chen B, Zheng Y, Liang Y. Analysis of potential genes and pathways involved in the pathogenesis of acne by bioinformatics. BioMed Res Int; 2019.
4. From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using rsubread and the edgeR quasi-likelihood pipeline;Chen;F1000Research,2016
5. Genetic analysis of potential biomarkers and therapeutic targets in neuroinflammation from sporadic Creutzfeldt-Jakob disease;Cheng;Sci Rep,2023
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