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Since the first development of a cell surface display system on bacteriophage by ([Smith 1985]), various yeast cell surface displaying systems have been developed for expression of heterologous proteins ([Sergeeva et al. 2006]).
GEnome scale Network REconstructions (GENRE) [ 6] represent biochemical, genetic, and genomic (BiGG) knowledge-bases [ 7] for target organisms; and have been developed for expression [ 8, 9], metabolic [ 6, 10], regulatory [ 11], and signaling [ 12, 13] networks.
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Moreover, a trans complementation system was developed for expression of Bliα and Bliβ variants in vivo.
The variety of mustard being developed for expression of beta-carotene accounts for 70 80 percent of the mustard grown in India.
In swine, in spite of limited genomic information available, several platforms have been developed for gene expression profiling.
Most genomics bi-clustering methods are not optimized for binary data as they have been developed for gene expression data with continuous values.
Several batch effect correction methods have been developed for gene expression microarray [ 13- 17]; however, the appropriateness of these methods for the methylation data has not been evaluated.
Currently, some tools have been developed for differential expression analysis based on microarray, such as R packages "LIMMA"[ 14], "SAMR"[ 15], "WGCNA"[ 16] and so on.
Although a variety of software tools and technologies have been developed for gene expression studies, a universal standard making these studies more suitable for comparative analysis and for inter-operability with other information sources is yet to emerge.
Two main approaches have been developed for ectopic expression, which depend on delivery of a synthetic microRNA (termed "microRNA mimic") (Wang, 2011) or vector-based transcription of microRNA precursors, which are further processed to yield the mature microRNA of interest.
Several batch correction methods have been developed for gene expression microarray, which include the EB approach applied in this work, distance weighted discrimination (DWD) [ 14], mean-centering [ 16], geometric ratio-based method [ 31], and surrogate variable analysis (SVA) [ 15].
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