Musa Nur相关文献与解析，生知库 | 链接生命科学的每一步

日期影响因子

Author Correction: A Model of Exposure to Extreme Environmental Heat Uncovers the Human Transcriptome to Heat Stress

作者更正：极端环境高温暴露模型揭示了人类转录组对热应激的反应

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-026-40575-7

Bouchama, Abderrezak; Aziz, Mohammad Azhar; Mahri, Saeed Al; Gabere, Musa Nur; Dlamy, Meshan Al; Mohammad, Sameer; Abbad, Mashael Al; Hussein, Mohamed

发表日期：2026

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Pharmacogenomics predictors of aromatic antiepileptic drugs-induced SCARs in the Iraqi patients

伊拉克患者中芳香族抗癫痫药物诱发严重皮肤不良反应的药物基因组学预测因子

影响因子:3.6

doi:10.1016/j.heliyon.2024.e41108

Ahmed, Ali Fadhel; Mohamed Noor, Dzul Azri; Sabbah, Majeed Arsheed; Musa, Nur Fadhlina; Athirah Daud, Nur Aizati

发表日期：2025

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Investigating the role of genetic variations of ABCB1 (rs1045642) and CYP7A1 (rs3808607) genes on serum lipid level among Malaysian male patients treated with atorvastatin

探讨ABCB1（rs1045642）和CYP7A1（rs3808607）基因变异对服用阿托伐他汀的马来西亚男性患者血脂水平的影响

期刊:Saudi Medical Journal

影响因子:1.5

doi:10.15537/smj.2025.46.8.20250310

Afzal, Muhammad U; Adeeb, Naam B; Musa, Nur F; Noor, Dzul A; Athirah Binti Daud, Nur Aizati

发表日期：2025

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Genetic Determinants in HLA and Cytochrome P450 Genes in the Risk of Aromatic Antiepileptic-Induced Severe Cutaneous Adverse Reactions

HLA和细胞色素P450基因的遗传决定因素与芳香族抗癫痫药诱发严重皮肤不良反应的风险相关

期刊:Journal of Personalized Medicine

doi:10.3390/jpm11050383

Ahmed, Ali Fadhel; Sukasem, Chonlaphat; Sabbah, Majeed Arsheed; Musa, Nur Fadhlina; Mohamed Noor, Dzul Azri; Daud, Nur Aizati Athirah

细胞生物学

发表日期：2021

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A Model of Exposure to Extreme Environmental Heat Uncovers the Human Transcriptome to Heat Stress

暴露于极端环境高温的模型揭示了人类转录组对热应激的影响

期刊:Scientific Reports

影响因子:3.8

doi:10.1038/s41598-017-09819-5

Abderrezak Bouchama, Mohammad Azhar Aziz, Saeed Al Mahri, Musa Nur Gabere, Meshan Al Dlamy, Sameer Mohammad, Mashael Al Abbad, Mohamed Hussein

发表日期：2017

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Empirical comparison of web-based antimicrobial peptide prediction tools

对基于网络的抗菌肽预测工具进行实证比较

doi:10.1093/bioinformatics/btx081

Gabere, Musa Nur; Noble, William Stafford

发表日期：2017

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Filtered selection coupled with support vector machines generate a functionally relevant prediction model for colorectal cancer

结合支持向量机的过滤选择模型能够生成功能相关的结直肠癌预测模型。

期刊:Oncotargets and Therapy

影响因子:2.8

doi:10.2147/OTT.S98910

Gabere, Musa Nur; Hussein, Mohamed Aly; Aziz, Mohammad Azhar

发表日期：2016

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