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As such, the current study aimed to estimate genetic parameters for growth traits in the absence of individual tagging or DNA markers using the 'internal reference' method.
In the second step, we zoom in to select the individual markers and interactions between markers and treatments in order to identify prognostic or predictive markers using the Bayesian adaptive Lasso.
This study is aimed to improve the diagnostic power of serum markers using the computational data mining technique to develop a combined diagnostic model that yielded the best diagnostic values for CCA.
Analysis of X-linked markers using the MLOD method from ASPEX also suggests linkage to the telomeric marker DXS6807.
40648_2018_105_MOESM1_ESM.mp4 Additional file 1. Whole-body motion to reach with both hands two AR markers using the proposed method.
Additionally, Wang et al (2011) developed gene-tagged markers using the difference in repeat number of di- or tri-nucleotides within GS3 for marker-assisted selection (MAS).
For example, Figures 3 and 9 show some results for user-selected markers using the image-based weight assignment from [36].
Here we also selected the informative markers using the PCA based approach [10], [11].
Analysis of the variation of genetic markers using the inferential framework of population genetics offers the potential to retrieve this information.
To specify the neuronal population types obtained, we first determined the expression of rostral-caudal CNS markers using the RT-PCR method.
Molecular analysis with AFLP markers, using the EcoRI primer E13 in combination with each of the MseI primers M49 or M51, basically followed the procedures described in Nuijten and Van Treuren [16].
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