Many markers are first made in miniature, with precise scaled-down patterns to determine the optimum layout for minimal yardage; the optimal miniature marker is then used as the guide for making the full-scale cutting marker.
Finally, many markers were related to G-protein signaling.
Moreover, this strategy would leave an erythromycin resistance marker in the genome for screening, which prevents it from manipulating multiple genes, since not many markers are available for Clostridia [21], [36], [39], [40], [41], [42], [43], [44].
Many markers are specific for layer 2 or 6 but not both.
To asses MVD in tumors tissues many markers were used, that is, CD34, CD31, CD105, and von Willebrand factor [ 5– 7].
In the past, genotyping of many markers was expensive, therefore, specific experimental designs were developed to reduce the impact of having fewer markers on statistical power [ 1].
One major drawback of many of these methods is their computational cost, which is very significant when many markers are considered.
Recently many markers were described in ovarian cancer diagnosis; however, in our opinion HE4 seems to be the most promising among them.
Furthermore, since mapping accuracy depends on the length of the haplotype used in the study [ 14- 17], this computational time could become prohibitive when many markers are being considered.
In this series of increasingly denser models, we aim to discover how many markers are needed to increase the predictive ability.
