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Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders

机译：综合基因表达Meta分析和集成的生物信息方法揭示血栓形成和髓鳞病症之间的共同签名

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Prabhash Kumar Jha; Aatira Vijay; Anita Sahu; Mohammad Zahid Ashraf;
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1. Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders [J] . Prabhash Kumar Jha, Aatira Vijay, Anita Sahu, Scientific reports. . 2016,第1期

机译：综合基因表达Meta分析和集成的生物信息方法揭示血栓形成和髓鳞病症之间的共同签名
2. Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML [J] . Zhang Zhen, Zhao Lin, Wei Xijin, Oncology letters . 2018,第4aPta2期

机译：微阵列数据的集成生物信息分析显示MDS和AML之间的共同基因签名
3. Systematic bioinformatic approaches reveal novel gene expression signatures associated with acquired resistance to EGFR targeted therapy in lung cancer [J] . Naeini Marjan Mojtabavi, Tavassoli Manoochehr, Ghaedi Kamran Gene: An International Journal Focusing on Gene Cloning and Gene Structure and Function . 2018,第期

机译：系统的生物信息方法揭示了与肺癌患者靶向靶向抗原靶向治疗相关的新型基因表达签名
4. Normal and Obese Liver Expressional QTLs Reveal Genes and Pathways Underlying Metabolic Disorders [C] . Hao Ke 5th International Conference on Bioinformatics and Biomedical Engineering . 2011

机译：正常和肥胖的肝脏表达QTL揭示了潜在的代谢障碍基因和途径。
5. Systems approaches to identify molecular signatures from high-throughput expression data: Towards next generation patient diagnostics [D] . Sung, Jaeyun 2012

机译：从高通量表达数据识别分子标记的系统方法：面向下一代患者诊断
6. Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders [O] . Prabhash Kumar Jha, Aatira Vijay, Anita Sahu, -1

机译：全面的基因表达荟萃分析和整合的生物信息学方法揭示了血栓形成和骨髓增生性疾病之间的共享特征
7. Gene expression profiling meta-analysis reveals novel gene signatures and pathways shared between tuberculosis and rheumatoid arthritis [O] . M. T. Badr, G. Häcker 2019

机译：基因表达分析荟萃分析揭示了结核病和类风湿性关节炎之间共享的新型基因签名和途径

Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders

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