DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes

Song, Tailai; Garza, Paolo; Meo, Michela; Munafò, Maurizio M.

doi:10.1016/j.comnet.2024.110507

Computer Networks

2024

DOI: 10.1016/j.comnet.2024.110507

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DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes

Tailai Song,

Paolo Garza,

Michela Meo

et al.

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2024

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DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug Response

Jararweh,

Arredondo,

Macaulay

et al. 2024

Preprint

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Despite their potential, current precision oncology approaches benefit only a small fraction of patients due to their limited focus on actionable genomic alterations. To expand its applicability, we propose DeepVul, a multi-task transformer-based model designed to predict gene essentiality and drug response from cancer transcriptome data. DeepVul aligns gene expressions, gene perturbations, and drug perturbations into a latent space, enabling simultaneous and accurate prediction of cancer cell vulnerabilities to numerous genes and drugs. Benchmarking against existing precision oncology approaches revealed that DeepVul not only matches but also complements oncogene-defined precision methods. Through interpretability analyses, DeepVul identifies underlying mechanisms of treatment response and resistance, as demonstrated with BRAF vulnerability prediction. By leveraging wholegenome transcriptome data, DeepVul enhances the clinical actionability of precision oncology, aiding in the identification of optimal treatments across a broader range of cancer patients. DeepVul is publicly available athttps://github.com/alaaj27/DeepVul.git.

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DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug Response

Jararweh,

Arredondo,

Macaulay

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

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DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes

Cited by 1 publication

References 35 publications

DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug Response

DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug Response

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