Handling missing DNA microarray data by kriging estimators
Pham, Tuan D. (2006) Handling missing DNA microarray data by kriging estimators. International Journal of Bioinformatics Research and Applications, 2 (2). pp. 177-192.
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Microarray gene expression data provide life science researchers with much more sensitive and detailed information about gene expression patterns than conventional methodologies for the purpose of facilitating gene recognition efforts. However, due to insufficient image resolution and noise generated during microarray experiments, gene expression matrices are frequently represented with missing elements. Methods for estimating missing microarray data are therefore needed to allow further analysis. In this paper, we present two kriging estimators for estimating missing values in DNA microarrays. These approaches can be useful for downstream analysis of microarray-based gene expression data.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||microarrays; missing values; geostatistics; DNA microarray data; kriging estimators; gene expression patterns; bioinformatics; gene recognition.|
|SEO Codes:||92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 34%|
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 33%
92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 33%
|Deposited On:||26 Nov 2009 15:49|
|Last Modified:||02 Nov 2012 09:10|
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