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Publication : briefings in bioinformatics فلترة بواسطة : مصطلح موضوعي

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Academic Journal

Predicting potential microbe–disease associations based on multi-source features and deep learning.

Authors : Wang, Liugen¹ (AUTHOR); Wang, Yan² (AUTHOR); Xuan, Chenxu² (AUTHOR)

Source: Briefings in Bioinformatics. Jul2023, Vol. 24 Issue 4, p1-14. 14p.

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Academic Journal

MPI-VGAE: protein–metabolite enzymatic reaction link learning by variational graph autoencoders.

Authors : Wang, Cheng^1,2 (AUTHOR); Yuan, Chuang^1,2 (AUTHOR); Wang, Yahui^3,4 (AUTHOR)

Source: Briefings in Bioinformatics. Jul2023, Vol. 24 Issue 4, p1-12. 12p.

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Academic Journal

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer.

Authors : Tong, Mengsha^1,2 (AUTHOR) ; Lin, Yuxiang² (AUTHOR); Yang, Wenxian³ (AUTHOR)

Source: Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-13. 13p.

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Unsupervised construction of gene regulatory network based on single-cell multi-omics data of colorectal cancer.

Authors : Cui, Lingyu¹ (AUTHOR); Li, Hongfei¹ (AUTHOR); Bian, Jilong² (AUTHOR)

Source: Briefings in Bioinformatics. Mar2023, Vol. 24 Issue 2, p1-8. 8p.

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Academic Journal

EXPERT: transfer learning-enabled context-aware microbial community classification.

Authors : Chong, Hui^1,2 (AUTHOR); Zha, Yuguo¹ (AUTHOR); Yu, Qingyang¹ (AUTHOR)

Source: Briefings in Bioinformatics. Nov2022, Vol. 23 Issue 6, p1-13. 13p.

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Academic Journal

TSomVar: a tumor-only somatic and germline variant identification method with random forest.

Authors : Shi, Shuo^1,2,3,4 (AUTHOR); Wang, Qi^1,2,3,5 (AUTHOR); Shang, Yunfei^1,2,3 (AUTHOR)

Source: Briefings in Bioinformatics. Sep2022, Vol. 23 Issue 5, p1-10. 10p.

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SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes.

Authors : Yang, Yi¹ (AUTHOR); Shi, Xingjie² (AUTHOR); Liu, Wei¹ (AUTHOR)

Source: Briefings in Bioinformatics. Jan2022, Vol. 23 Issue 1, p1-13. 13p.

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MOAI: a multi-outcome interaction identification approach reveals an interaction between vaspin and carcinoembryonic antigen on colorectal cancer prognosis.

Authors : Lin, Yu-Da¹ (AUTHOR); Lee, Yi-Chen² (AUTHOR); Chiang, Chih-Po³ (AUTHOR)

Source: Briefings in Bioinformatics. Jan2022, Vol. 23 Issue 1, p1-14. 14p.

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Comprehensive analysis of partial methylation domains in colorectal cancer based on single-cell methylation profiles.

Authors : Huang, Yan¹ (AUTHOR); Wang, Pingping¹ (AUTHOR); Zhou, Wenyang¹ (AUTHOR)

Source: Briefings in Bioinformatics. Nov2021, Vol. 22 Issue 6, p1-11. 11p.

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Academic Journal

multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine.

Authors : Dotolo, Serena¹ (AUTHOR); Marabotti, Anna² (AUTHOR); Rachiglio, Anna Maria³ (AUTHOR)

Source: Briefings in Bioinformatics. Nov2021, Vol. 22 Issue 6, p1-13. 13p.

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نتائج البحث

فلترة النتائج

Predicting potential microbe–disease associations based on multi-source features and deep learning.

MPI-VGAE: protein–metabolite enzymatic reaction link learning by variational graph autoencoders.

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer.

Unsupervised construction of gene regulatory network based on single-cell multi-omics data of colorectal cancer.

EXPERT: transfer learning-enabled context-aware microbial community classification.

TSomVar: a tumor-only somatic and germline variant identification method with random forest.

SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes.

MOAI: a multi-outcome interaction identification approach reveals an interaction between vaspin and carcinoembryonic antigen on colorectal cancer prognosis.

Comprehensive analysis of partial methylation domains in colorectal cancer based on single-cell methylation profiles.

multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine.

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