Comparison of clustering methods of microarray gene expression data
نویسندگان
چکیده
منابع مشابه
Assessing agreement of clustering methods with gene expression microarray data
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face the choice of which clustering algorithm(s) to use and how to interpret different results from the various clustering algorithms. No clear objective criteria have been developed to assess the agreement and compare the...
متن کاملComparison of feature extraction methods with microarray gene-expression data
With microarray gene-expression data, we compare supervised feature extraction methods with the unsupervised feature extraction methods. From experimental results, it is shown that the supervised feature extraction methods are more powerful than the unsupervised feature extraction methods in terms of class separability.
متن کاملa comprehensive comparison of different clustering methods for reliability analysis of microarray data
in this study, we considered some competitive learning methods which include hard competitive learning (hcl) and soft competitive learning (scl) with/ without fixed network dimensionality for reliability analysis in microarrays. in order to have a more extensive view, and keeping in mind that competitive learning methods aim at error minimization or entropy maximization (different kinds of func...
متن کاملEvaluation and comparison of gene clustering methods in microarray analysis
MOTIVATION Microarray technology has been widely applied in biological and clinical studies for simultaneous monitoring of gene expression in thousands of genes. Gene clustering analysis is found useful for discovering groups of correlated genes potentially co-regulated or associated to the disease or conditions under investigation. Many clustering methods including hierarchical clustering, K-m...
متن کاملon the comparison of keyword and semantic-context methods of learning new vocabulary meaning
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2012
ISSN: 1598-9402
DOI: 10.7465/jkdi.2012.23.1.039