HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression data

This work significantly advances the fields of pharmacogenomics and personalized medicine through an in-depth evaluation that includes complex performance metrics and visualizations.

Authors

Institutions

Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-06-27
DOI
https://doi.org/10.1016/j.cmpb.2025.108913
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72

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article

HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression data

Mujtaba Husnain, Najah Alsubaie, Sajid Naveed
2 citations
Computer Methods and Programs in Biomedicine
Radiomics and Machine Learning in Medical Imaging
2.72
article

HybridDLDR: A hybrid deep learning-based drug resistance prediction system of Glioblastoma (GBM) using molecular descriptors and gene expression data

Mujtaba Husnain, Najah Alsubaie, Sajid Naveed
article en
2 citations

Abstract

This work significantly advances the fields of pharmacogenomics and personalized medicine through an in-depth evaluation that includes complex performance metrics and visualizations.

Computer Methods and Programs in BiomedicineVol. 270
Princess Nourah bint Abdulrahman University (SA), Islamia University of Bahawalpur (PK)
Princess Nourah Bint Abdulrahman University
Openalex Percentile: Top 10%
Radiomics and Machine Learning in Medical Imaging
2.72
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