Josyula, J. V. N., Jangili, S., Yaladanda, N., Pillai, A. K. B., & Mutheneni, S. R. (2025). Exploring potential gene signatures in dengue through machine learning and deep learning approaches. Virus Genes, 1-16. https://doi.org/10.1007/s11262-025-02204-9
ISO-690 (author-date, English)JOSYULA, Jhansi Venkata Nagamani, JANGILI, Shraddha, YALADANDA, Nikhila, PILLAI, Agiesh Kumar Balakrishna und MUTHENENI, Srinivasa Rao, 2025. Exploring potential gene signatures in dengue through machine learning and deep learning approaches. Virus Genes. 2 Dezember 2025. P. 1-16. DOI 10.1007/s11262-025-02204-9.
Modern Language Association 9th editionJosyula, J. V. N., S. Jangili, N. Yaladanda, A. K. B. Pillai, und S. R. Mutheneni. „Exploring Potential Gene Signatures in Dengue through Machine Learning and Deep Learning Approaches“. Virus Genes, Dezember 2025, S. 1-16, https://doi.org/10.1007/s11262-025-02204-9.
Mohr Siebeck - Recht (Deutsch - Österreich)Josyula, Jhansi Venkata Nagamani/Jangili, Shraddha/Yaladanda, Nikhila/Pillai, Agiesh Kumar Balakrishna/Mutheneni, Srinivasa Rao: Exploring potential gene signatures in dengue through machine learning and deep learning approaches, Virus Genes 2025, 1-16.
Emerald - HarvardJosyula, J.V.N., Jangili, S., Yaladanda, N., Pillai, A.K.B. und Mutheneni, S.R. (2025), „Exploring potential gene signatures in dengue through machine learning and deep learning approaches“, Virus Genes, S. 1-16.