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Using Walesiak and Dudek algorithm [32], we then compared its performance with nine alternative similarity measures used for binary vectors, in conjunction with five distinct clustering methods.
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Support Vector Machines (SVMs) are widely used for binary classification [ 13].
Methods of transgenic plant creation include the use of pTi plasmids, use of intermediate vectors, use of binary vectors, pRi plasmids, method of biological ballistics, electroporation, transformation of plant protoplasts, microinjections, and marker genes for transformant selection.
The vectors pCAMBIA1300/2300/3300 and their derivatives (including the Gateway-compatible pMDC series) are some of the most widely used binary vectors for a variety of plant species [ 42, 43], and some plant transformation protocols have been specifically optimized based on these vectors.
For transformation, we used the binary vector containing three cDNAs from Petunia hybrida, encoding chalcone synthase (CHS, EMBL/GenBank database acc. no. X04080), chalcone isomerase (CHI, EMBL/GenBank database acc. no. X14589) and dihydroflavonol reductase (DFR, EMBL/GenBank database acc. no. X15537) in the sense orientation under the control of the 35S promoter and OCS terminator [ 19].
We used binary vectors pTRAkc-AH and pTRAkc-ERH, both of which carry the CaMV 35SS double promoter for constitutive transgene expression [ 35].
Next, using these binary vectors, we analyzed all possible gene triplets.
The plasmid pCAMBIA2300 was used as binary vector (www.cambia.org).org
The Tanimoto coefficient was used to measure similarity for all binary fingerprints, while the Dice coefficient was used for count vectors.
pCAMBIA1380 was used as the binary vector for Agrobacterium-mediated transformation [39].
The two clones were used in the current study to construct a series of infectious constructs using a binary vector for agro-infiltration.
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