Non-Negative Factorization for Clustering of Microarray Data
نویسندگان
چکیده
منابع مشابه
Inferential, robust non-negative matrix factorization analysis of microarray data
MOTIVATION Modern methods such as microarrays, proteomics and metabolomics often produce datasets where there are many more predictor variables than observations. Research in these areas is often exploratory; even so, there is interest in statistical methods that accurately point to effects that are likely to replicate. Correlations among predictors are used to improve the statistical analysis....
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ژورنال
عنوان ژورنال: INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
سال: 2014
ISSN: 1841-9844,1841-9836
DOI: 10.15837/ijccc.2014.1.866