Integrated analysis of the heterogeneous microarray data

Background As the magnitude of the experiment increases, it is common to combine various types of microarrays such as paired and non-paired microarrays from different laboratories or hospitals. Thus, it is important to analyze microarray data together to derive a combined conclusion after accounting...

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Bibliographic Details
Published in:	BMC bioinformatics Vol. 12; no. Suppl 5; p. S3
Main Authors:	Yi, Sung Gon, Park, Taesung
Format:	Journal Article
Language:	English
Published:	London BioMed Central 27.07.2011
Subjects:	Algorithms Analysis of Variance Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Life Sciences Linear Models Liver Neoplasms - genetics Microarrays Oligonucleotide Array Sequence Analysis Proceedings ANOVA Model Microarray Data Linear Mixed Effect Model Covariance Structure Statistical Test Procedure
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
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