Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model

Normalization of dye bias in microarray data using the mixture of splines model.

This paper discusses characteristics of dye biases in microarray data that the conventional normalization methods do not handle, and proposes a new normalization method involving a mixture of splines model. We also develop a test for between-group comparisons of each gene that is designed to be used with our proposed method.

cDNA Microarray Data Normalization

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

the effect of using model essays on the develpment of writing proficiency of iranina pre-intermediate efl learners

abstract the present study was conducted to investigate the effect of using model essays on the development of writing proficiency of iranian pre-intermediate efl learners. to fulfill the purpose of the study, 55 pre- intermediate learners of parsa language institute were chosen by means of administering proficiency test. based on the results of the pretest, two matched groups, one as the expe...

Assessing the efficiency of dye-swap normalization to remove systematic bias from two-color microarray data

Microarrays are a powerful tool in functional genomics, what allow a simultaneous analysis of the expression level of thousands of genes under different conditions. In order to compare measurements within and across arrays and to correct non-biological variation masking meaningful information, normalization is an essential task prior to any further analysis. Among all the available normalizatio...