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Where at the network level one looks for how many of the existing wedges are closed by a third edge, hence probing the local clustering structure, at the simplicial level we can ask how many of the set of three edges (1-simplices) that are arranged in a triangle are covered by a full triangle (2-simplex).
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The YFPN (YN) fusion proteins were tagged with a c-Myc epitope and hence probed with an α-c-Myc antibody; the YFPC (YC) fusion proteins were tagged with a hemaglutinin (HA) epitope and thus probed with an α-HA antibody.
Hence, probe detection under these circumstances would be unreliable.
This is intuitive, as probes of the same length that target different mutation sites have different G+C contents, and hence, probes that require different stringencies in order to perform optimally.
The samples in the validation set had been analyzed on Agilent Whole Human Genome 44K arrays and hence, probes were matched between the Applied Biosystem whole genome survey microarrays and the Agilent platform by gene symbols.
The significant variation in FASX and SR195750 transcript levels among serotypes was not due to differences in sequence identity, and hence probe hybridization kinetics, as there was no correlation between percent sequence identity and Northern hybridization intensity (Table S3).
For most of the CAs we were able to design templates, and hence probes, that had no sequence homology to any other family member.
Clinical and environmental samples may contain a multitude of non-target genomes, and hence probes designed for diagnostic assays must be unique with respect to all non-target genomes.
Hence we probed for LC3, a specific marker for autophagosomes, to test if autophagic activity was induced by 17-AAG.
Hence, we probed further the specific effects of wild-type and disease-causing mutations in RPGRIP1α1, RPGR isoforms or both, in the physical tethering and stabilization of the RPGRIP1 interactome.
MCMC is a generic approach to generating samples from a complex target distribution and is well suited to the task of variable set uncertainty (cf. Gelman et al., 2003) Hence we probe the 497-dimensional feature space using a MCMC algorithm, as detailed below, from which we are able to characterize feature set relevance, (cf. Kass and Raftery, 1995; Kass and Wasserman, 1995; Raftery, 1995).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com