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The relevant subnetworks can be visualized by approximating the RWR algorithm using the unweighted shortest paths between the top queries and seeds.
This can be visualized by approximating the accuracy of the total EBV (r totalEBV ) as: (5) where q2 is the proportion of genetic variance explained by the haplotypes (=, where is the accuracy of the QTL-EBV and Q2 is the amount of genetic variance explained by the QTL), is the accuracy of the polygenic EBV and r h is the accuracy of the predicted number of haplotype copies.
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The latter three parameters give a more accurate picture about the approximate posterior density of the random effect, which can be visualized by Gram Charlier approximation [16] as shown in Fig. 5.
In SDS-PAGE, the protein bands were visualized by silver nitrate staining method and the approximate molecular weight was determined by comparison with the standard molecular weight markers [Myosin, rabbit muscle (205 kDa), phosphorylase b (97.4 kDa), bovine serum albumin (66.0 kDa), ovalbumin (43.0 kDa), and carbonic anhydrase (29.0 kDa)].
For each animal, two 20 µm sections were examined and 6 fields approximated as representative of the whole section, were visualized by confocal microscopy at 1000× magnification.
Morphology was visualized by scanning electron microscopy.
Both particles were visualized by TEM.
Cell nuclei were visualized by DAPI staining.
Nanoparticles were visualized by negative staining microscopy.
Protein bands were visualized by ECL.
Bound antibodies were visualized by chemiluminescence.
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