Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning

Tejaswi Vemuri; Trung Dinh; Zonglin Yang; Thiruvarangan Ramaraj; Joann Mudge; Brendan Mumey; Indika Kahanda

doi:10.1109/ICMLA66185.2025.00201

Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning

Tejaswi Vemuri
, Trung Dinh
, Zonglin Yang
, Thiruvarangan Ramaraj
, Joann Mudge
, Brendan Mumey
, Indika Kahanda

School of Computing

Producción científica: Literary contribution

Idioma original	English
Título de la publicación alojada	Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025
Editores	M. Arif Wani, Taghi M. Khoshgoftaar, Huanjing Wang, Kehan Gao, Safak Kayikci
Páginas	1313-1317
Número de páginas	5
ISBN (versión digital)	9798331559809
DOI	https://doi.org/10.1109/ICMLA66185.2025.00201
Estado	Published - 2025
Evento	24th International Conference on Machine Learning and Applications, ICMLA 2025 - Boca Raton, United States Duración: dic 3 2025 → dic 5 2025

Serie de la publicación

Nombre	Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025

Conference

Conference	24th International Conference on Machine Learning and Applications, ICMLA 2025
País/Territorio	United States
Ciudad	Boca Raton
Período	12/3/25 → 12/5/25

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Modeling and Simulation

Acceder al documento

10.1109/ICMLA66185.2025.00201

Otros archivos y enlaces

Citar esto

Vemuri, T., Dinh, T., Yang, Z., Ramaraj, T., Mudge, J., Mumey, B., & Kahanda, I. (2025). Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. En M. A. Wani, T. M. Khoshgoftaar, H. Wang, K. Gao, & S. Kayikci (Eds.), Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025 (pp. 1313-1317). (Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025). https://doi.org/10.1109/ICMLA66185.2025.00201

Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. / Vemuri, Tejaswi; Dinh, Trung; Yang, Zonglin et al.
Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025. ed. / M. Arif Wani; Taghi M. Khoshgoftaar; Huanjing Wang; Kehan Gao; Safak Kayikci. 2025. p. 1313-1317 (Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025).

Producción científica: Literary contribution

Vemuri, T, Dinh, T, Yang, Z, Ramaraj, T, Mudge, J, Mumey, B & Kahanda, I 2025, Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. En MA Wani, TM Khoshgoftaar, H Wang, K Gao & S Kayikci (eds.), Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025. Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025, pp. 1313-1317, 24th International Conference on Machine Learning and Applications, ICMLA 2025, Boca Raton, United States, 12/3/25. https://doi.org/10.1109/ICMLA66185.2025.00201

Vemuri T, Dinh T, Yang Z, Ramaraj T, Mudge J, Mumey B et al. Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. En Wani MA, Khoshgoftaar TM, Wang H, Gao K, Kayikci S, editores, Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025. 2025. p. 1313-1317. (Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025). doi: 10.1109/ICMLA66185.2025.00201

Vemuri, Tejaswi ; Dinh, Trung ; Yang, Zonglin et al. / Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025. editor / M. Arif Wani ; Taghi M. Khoshgoftaar ; Huanjing Wang ; Kehan Gao ; Safak Kayikci. 2025. pp. 1313-1317 (Proceedings - 2025 24th International Conference on Machine Learning and Applications, ICMLA 2025).

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