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Publication : briefings in bioinformatics

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Academic Journal

Multiview representation learning for identification of novel cancer genes and their causative biological mechanisms.

Authors : Yang, Jianye¹ (AUTHOR); Fu, Haitao^1,2 (AUTHOR); Xue, Feiyang¹ (AUTHOR)

Source: Briefings in Bioinformatics. Sep2024, Vol. 25 Issue 5, p1-13. 13p.

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Academic Journal

SMG: self-supervised masked graph learning for cancer gene identification.

Authors : Cui, Yan¹ (AUTHOR); Wang, Zhikang² (AUTHOR); Wang, Xiaoyu² (AUTHOR)

Source: Briefings in Bioinformatics. Nov2023, Vol. 24 Issue 6, p1-13. 13p.

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Academic Journal

Review and meta-analysis of the genetic Minimal Cut Set approach for gene essentiality prediction in cancer metabolism.

Authors : Olaverri-Mendizabal, Danel¹ (AUTHOR); Valcárcel, Luis V^1,2,3 (AUTHOR); Barrena, Naroa¹ (AUTHOR)

Source: Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-10. 10p.

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Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks.

Authors : Nourbakhsh, Mona¹ (AUTHOR); Degn, Kristine¹ (AUTHOR); Saksager, Astrid¹ (AUTHOR)

Source: Briefings in Bioinformatics. Mar2024, Vol. 25 Issue 2, p1-16. 16p.

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A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes.

Authors : Zhang, Tong^1,2 (AUTHOR); Zhang, Shao-Wu¹ (AUTHOR) ; Xie, Ming-Yu¹ (AUTHOR)

Source: Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-11. 11p.

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Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction.

Authors : Liang, Jing^1,2 (AUTHOR); Li, Zong-Wei¹ (AUTHOR); Sun, Ze-Ning¹ (AUTHOR)

Source: Briefings in Bioinformatics. Nov2023, Vol. 24 Issue 6, p1-17. 17p.

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Academic Journal

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.

Authors : Yang, Hai¹ (AUTHOR); Liu, Yawen¹ (AUTHOR); Yang, Yijing² (AUTHOR)

Source: Briefings in Bioinformatics. Sep2023, Vol. 24 Issue 5, p1-11. 11p.

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Improving cancer driver gene identification using multi-task learning on graph convolutional network.

Authors : Peng, Wei^1,2 (AUTHOR) ; Tang, Qi¹ (AUTHOR); Dai, Wei^1,2 (AUTHOR)

Source: Briefings in Bioinformatics. Jan2022, Vol. 23 Issue 1, p1-12. 12p.

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Academic Journal

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach.

Authors : Yang, Hai¹ (AUTHOR); Gan, Lipeng¹ (AUTHOR); Chen, Rui² (AUTHOR)

Source: Briefings in Bioinformatics. Jan2023, Vol. 24 Issue 1, p1-11. 11p.

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Recent advances in cancer fusion transcript detection.

Authors : Dorney, Ryley^1,2 (AUTHOR); Dhungel, Bijay P^2,3,4 (AUTHOR); Rasko, John E J^3,4 (AUTHOR)

Source: Briefings in Bioinformatics. Jan2023, Vol. 24 Issue 1, p1-12. 12p.

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نتائج البحث

فلترة النتائج

Multiview representation learning for identification of novel cancer genes and their causative biological mechanisms.

SMG: self-supervised masked graph learning for cancer gene identification.

Review and meta-analysis of the genetic Minimal Cut Set approach for gene essentiality prediction in cancer metabolism.

Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks.

A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes.

Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction.

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.

Improving cancer driver gene identification using multi-task learning on graph convolutional network.

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach.

Recent advances in cancer fusion transcript detection.

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