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Computational Bioinformatics and Machine Learning Models to Identify the Diseasome and Neurological Disease Comorbidities 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  Md Habibur Rahman
Adobe PDF(12630Kb)  |  收藏  |  浏览/下载：248/2  |  提交时间：2020/07/15
疾病共病鉴定  生存分析  生物信息学  机器学习  2 型糖尿病  神经系统疾病  胶质母细胞瘤  通路  基因本体  蛋白质  
A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 卷号: 17, 期号: 3, 页码: 25
作者:  Rahman, Md Habibur;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Rahman, Md Rezanur;  Uddin, Shahadat;  Quinn, Julian M. W.;  Moni, Mohammad Ali
浏览  |  Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：403/82  |  提交时间：2020/04/07
bioinformatics  computational biology  gene ontology  protein  pathways  type 2 diabetes  neurological disease  
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities 期刊论文
IEEE ACCESS, 2019, 期号: 7, 页码: 183948-183970
作者:  Rahman, Md Habibur;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Uddin, Shahadat;  Quinn, Julian M. W.;  Moni, Mohammad Ali
浏览  |  Adobe PDF(9657Kb)  |  收藏  |  浏览/下载：298/40  |  提交时间：2020/03/30
Bioinformatics  comorbidities  gene set enrichment analysis  gene ontology  neurological disease  pathway  semantic similarity  Type 2 diabetes  
Glypican-3: A promising biomarker for hepatocellular carcinoma diagnosis and treatment 期刊论文
MEDICINAL RESEARCH REVIEWS, 2018, 卷号: 38, 期号: 2, 页码: 741-767
作者:  Zhou, Fubo;  Shang, Wenting;  Yu, Xiaoling;  Tian, Jie
浏览  |  Adobe PDF(1650Kb)  |  收藏  |  浏览/下载：421/190  |  提交时间：2017/09/20
Glypican-3  Hepatocellular Carcinoma  
Tumor border sharpness correlates with HLA-G expression in low-grade gliomas 期刊论文
JOURNAL OF NEUROIMMUNOLOGY, 2015, 卷号: 282, 页码: 1-6
作者:  Wang, Yinyan;  Fan, Xing;  Li, Hongming;  Lin, Zhiguo;  Bao, Hongbo;  Li, Shaowu;  Wang, Lei;  Jiang, Tianzi;  Fan, Yong;  Jiang, Tao
收藏  |  浏览/下载：230/0  |  提交时间：2015/09/17
Hla-g  Low-grade Glioma  Sharpness Of The Tumor Border