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An Improved Fuzzy Based Missing Value Estimation in DNA Microarray Validated by Gene Ranking
المؤلفون المشاركون
Saha, Sujay
Ghosh, Anupam
Seal, Dibyendu Bikash
Dey, Kashi Nath
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-07-18
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
Most of the gene expression data analysis algorithms require the entire gene expression matrix without any missing values.
Hence, it is necessary to devise methods which would impute missing data values accurately.
There exist a number of imputation algorithms to estimate those missing values.
This work starts with a microarray dataset containing multiple missing values.
We first apply the modified version of the fuzzy theory based existing method LRFDVImpute to impute multiple missing values of time series gene expression data and then validate the result of imputation by genetic algorithm (GA) based gene ranking methodology along with some regular statistical validation techniques, like RMSE method.
Gene ranking, as far as our knowledge, has not been used yet to validate the result of missing value estimation.
Firstly, the proposed method has been tested on the very popular Spellman dataset and results show that error margins have been drastically reduced compared to some previous works, which indirectly validates the statistical significance of the proposed method.
Then it has been applied on four other 2-class benchmark datasets, like Colorectal Cancer tumours dataset (GDS4382), Breast Cancer dataset (GSE349-350), Prostate Cancer dataset, and DLBCL-FL (Leukaemia) for both missing value estimation and ranking the genes, and the results show that the proposed method can reach 100% classification accuracy with very few dominant genes, which indirectly validates the biological significance of the proposed method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Saha, Sujay& Ghosh, Anupam& Seal, Dibyendu Bikash& Dey, Kashi Nath. 2016. An Improved Fuzzy Based Missing Value Estimation in DNA Microarray Validated by Gene Ranking. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1095050
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Saha, Sujay…[et al.]. An Improved Fuzzy Based Missing Value Estimation in DNA Microarray Validated by Gene Ranking. Advances in Fuzzy Systems No. 2016 (2016), pp.1-19.
https://search.emarefa.net/detail/BIM-1095050
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Saha, Sujay& Ghosh, Anupam& Seal, Dibyendu Bikash& Dey, Kashi Nath. An Improved Fuzzy Based Missing Value Estimation in DNA Microarray Validated by Gene Ranking. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1095050
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095050
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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