Implementation of a Hybrid Deep Learning System for Anti- Drug Response Prediction Using Genetic Sequencing Data

Vishal Rakh; Eeshan Kurhe; Tejas Gadankar; Vedant Patil; Yash Gajare

doi:10.59256/indjcst.20260501076

Original Article

Implementation of a Hybrid Deep Learning System for Anti- Drug Response Prediction Using Genetic Sequencing Data

Volume 5, Issue 1
Pages 641-648
Published Online: January-April 2026
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Authors

Vishal Rakh¹
Eeshan Kurhe²
Tejas Gadankar³
Vedant Patil⁴
Yash Gajare⁵

¹ Professor, SRCOE, Department of Computer Engineering, Pune, Maharashtra, India. ² ³ ⁴ ⁵ Student, SRCOE, Department of Computer Engineering, Pune, Maharashtra, India.

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Article Information

DOI: https://www.doi.org/10.59256/indjcst.20260501076
Published In: Volume 5, Issue 1 (2026)
Published Online: January-April 2026
Pages: 641-648
Article Type: Original Article
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Vishal Rakh, Eeshan Kurhe, Tejas Gadankar, Vedant Patil, Yash Gajare, “Implementation of a Hybrid Deep Learning System for Anti-Drug Response Prediction Using Genetic Sequencing Data”, Indian Journal of Computer Science and Technology, Volume 05, Issue 01 (January-April 2026), PP: 641-648.

Implementation of a Hybrid Deep Learning System for Anti- Drug Response Prediction Using Genetic Sequencing Data

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