Methylation signatures with diagnostic value in breast cancer via automated machine learning
نویسندگان
چکیده
منابع مشابه
Diagnosing Breast Cancer by Machine Learning
Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultim...
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The fact that there is very little if any overlap between the genes of different prognostic signatures for early-discovery breast cancer is well documented. The reasons for this apparent discrepancy have been explained by the limits of simple machine-learning identification and ranking techniques, and the biological relevance and meaning of the prognostic gene lists was questioned. Subsequently...
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چکیده: سرطان پستان دومین عامل مرگ مرتبط با سرطان در خانم ها است. از آنجا که سرطان پستان یک تومور وابسته به هورمون است، می تواند توسط وضعیت هورمون های استروئیدی شامل استروژن و پروژسترون تنظیم شود. استروژن نقش مهمی در توسعه و پیشرفت سرطان پستان ایفا می کند و تاثیر خود را روی بیان ژن های هدف از طریق گیرنده های استروژن اعمال می کند. اما گروه دیگری از گیرنده های هسته ای به نام گیرنده های مرتبط به ا...
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OBJECTIVE To explore the value of diagnosis accuracy of aberrant microRNAs in breast cancer. MATERIALS AND METHODS We searched PubMed, Embase, EBSCO and the Cochrane Library, accessing to the case of articles about microRNA expression in breast carcinoma patients after literature screening and quality assessment, extracting data from included studies and using Stata 14.0 analysis data for met...
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ژورنال
عنوان ژورنال: The Breast
سال: 2021
ISSN: 0960-9776
DOI: 10.1016/s0960-9776(21)00137-5