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A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification
المؤلفون المشاركون
Mcdermott, Jason E.
Wang, Jing
Webb-Robertson, Bobbie-Jo M.
Matzke, Melissa M.
Varnum, Susan M.
Brown, Joseph N.
Riensche, Roderick M.
Jacobs, Jon M.
Hoidal, John R.
Scholand, Mary Beth
Pounds, Joel G.
Blackburn, Michael R.
Rodland, Karin D.
Adkins, Joshua N.
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-10-10
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Background.
The availability of large complex data sets generated by high throughput technologies has enabled the recent proliferation of disease biomarker studies.
However, a recurring problem in deriving biological information from large data sets is how to best incorporate expert knowledge into the biomarker selection process.
Objective.
To develop a generalizable framework that can incorporate expert knowledge into data-driven processes in a semiautomated way while providing a metric for optimization in a biomarker selection scheme.
Methods.
The framework was implemented as a pipeline consisting of five components for the identification of signatures from integrated clustering (ISIC).
Expert knowledge was integrated into the biomarker identification process using the combination of two distinct approaches; a distance-based clustering approach and an expert knowledge-driven functional selection.
Results.
The utility of the developed framework ISIC was demonstrated on proteomics data from a study of chronic obstructive pulmonary disease (COPD).
Biomarker candidates were identified in a mouse model using ISIC and validated in a study of a human cohort.
Conclusions.
Expert knowledge can be introduced into a biomarker discovery process in different ways to enhance the robustness of selected marker candidates.
Developing strategies for extracting orthogonal and robust features from large data sets increases the chances of success in biomarker identification.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Jing& Webb-Robertson, Bobbie-Jo M.& Matzke, Melissa M.& Varnum, Susan M.& Brown, Joseph N.& Riensche, Roderick M.…[et al.]. 2013. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification. Disease Markers،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031212
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Jing…[et al.]. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification. Disease Markers No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1031212
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Jing& Webb-Robertson, Bobbie-Jo M.& Matzke, Melissa M.& Varnum, Susan M.& Brown, Joseph N.& Riensche, Roderick M.…[et al.]. A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification. Disease Markers. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031212
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1031212
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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