Incorporating Pathway Information into Feature Selection towards Better Performed Gene Signatures
المؤلفون المشاركون
Tian, Suyan
Wang, Chi
Wang, Bing
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-03
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
To analyze gene expression data with sophisticated grouping structures and to extract hidden patterns from such data, feature selection is of critical importance.
It is well known that genes do not function in isolation but rather work together within various metabolic, regulatory, and signaling pathways.
If the biological knowledge contained within these pathways is taken into account, the resulting method is a pathway-based algorithm.
Studies have demonstrated that a pathway-based method usually outperforms its gene-based counterpart in which no biological knowledge is considered.
In this article, a pathway-based feature selection is firstly divided into three major categories, namely, pathway-level selection, bilevel selection, and pathway-guided gene selection.
With bilevel selection methods being regarded as a special case of pathway-guided gene selection process, we discuss pathway-guided gene selection methods in detail and the importance of penalization in such methods.
Last, we point out the potential utilizations of pathway-guided gene selection in one active research avenue, namely, to analyze longitudinal gene expression data.
We believe this article provides valuable insights for computational biologists and biostatisticians so that they can make biology more computable.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tian, Suyan& Wang, Chi& Wang, Bing. 2019. Incorporating Pathway Information into Feature Selection towards Better Performed Gene Signatures. BioMed Research International،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1123878
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tian, Suyan…[et al.]. Incorporating Pathway Information into Feature Selection towards Better Performed Gene Signatures. BioMed Research International No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1123878
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tian, Suyan& Wang, Chi& Wang, Bing. Incorporating Pathway Information into Feature Selection towards Better Performed Gene Signatures. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1123878
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1123878
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر