Systematic prediction of key genes for ovarian cancer by co‐expression network analysis
نویسندگان
چکیده
منابع مشابه
Identification of key genes and pathways involved in vitiligo vulgaris by gene network analysis
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اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولInvestigating key genes associated with ovarian cancer by integrating affinity propagation clustering and mutual information network analysis.
OBJECTIVE The objective of the present work was to investigate key genes in ovarian cancer based on mAP-KL method which comprised the maxT multiple hypothesis (m), Krzanowski and Lai (KL) cluster quality index, and affinity propagation (AP) clustering algorithm, and mutual information network (MIN) constructed by the context likelihood of relatedness (CLR) algorithm. MATERIALS AND METHODS MAP...
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Bladder cancer (BC) is a common urinary system tumor with high aggressiveness, and it results in relatively high mortality due to a lack of precise and suitable biomarkers. In this study, we applied the weighted gene coexpression network analysis method to miRNA expression data from BC patients, and screened for network modules associated with BC progression. Hub miRNAs were selected, followed ...
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ژورنال
عنوان ژورنال: Journal of Cellular and Molecular Medicine
سال: 2020
ISSN: 1582-1838,1582-4934
DOI: 10.1111/jcmm.15271