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MrGPS: an m6A-related gene pair signature to predict the prognosis and immunological impact of glioma patients.

• Authors : Zhang, Ning^1,2,3 (AUTHOR); Yang, Fengxia^1,2,3 (AUTHOR); Zhao, Pengfei^1,2 (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2024, Vol. 25 Issue 1, p1-13. 13p.

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artificial neural network model based on DNA damage response genes to predict outcomes of lower-grade glioma patients.

• Authors : Chen, Jian¹ (AUTHOR); Qian, Xiaojun¹ (AUTHOR); He, Yifu¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Nov2021, Vol. 22 Issue 6, p1-12. 12p.

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An artificial neural network model based on DNA damage response genes to predict outcomes of lower-grade glioma patients

• Authors : Xinghua Han; Yi-Fu He; Jian Chen

Subjects: 0301 basic medicine; Oncology; medicine.medical_specialty

• Source: Briefings in bioinformatics. 22(6)

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MrGPS: an m6A-related gene pair signature to predict the prognosis and immunological impact of glioma patients.

• Authors : Zhang N; Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics, Shenzhen People's Hospital, Shenzhen, China.; The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University.

Subjects: Glioma*/Glioma*/Glioma*/genetics ; Glioblastoma*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Nov 22; Vol. 25 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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