کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5129562 1489736 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical inferences based on outliers for gene expression analysis
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Statistical inferences based on outliers for gene expression analysis
چکیده انگلیسی


- Discovering differential gene through the detection of outliers in samples from disease group subjects.
- Processing best linear outlier mean.
- An analysis of DNA microarray data from samples of pancreatic breast tumors.

Discovering differential genes through the detection of outliers in samples from disease group subjects is a new and important approach for gene expression analysis. Extending the outlier mean of Chen et al. (2010a), we develop the asymptotic distributions of the outlier least squares estimator (LSE) and the outlier proportion for the linear regression model. An optimal property of the best linear outlier mean acting as an outlier estimator version of the Gauss-Markov theorem for the outlier LSE is presented. Power comparisons demonstrate that tests based on outlier estimators are competitive in detecting a shift of the parent tail distribution. An analysis of DNA microarray data from samples of pancreatic breast tumors supports the use of outlier-based methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 187, August 2017, Pages 130-142
نویسندگان
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