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1 on for phasing of defective crystals with no a priori knowledge.
2 advantageous in detecting pathogens without a priori knowledge.
3 biological nanocomplexes, without requiring a priori knowledge.
4 olite distributions without the need for any a priori knowledge.
5 ants, simultaneously in one spectrum without a priori knowledge.
6 le phosphorylation occurring in vivo without a priori knowledge.
7 tein posttranslational modifications without a priori knowledge.
8 ntibodies in an unbiased fashion and without a priori knowledge.
9 the HMM is restricted by the application of a priori knowledge.
10 n proteins for potential ligands without any a priori knowledge.
12 tition the time series into clusters without a priori knowledge about the number of clusters and the
15 stical and heuristic techniques that rely on a priori knowledge about various parameter distributions
17 based on rational design require significant a priori knowledge and often fail to take a holistic vie
18 ne-based pharmacogenetics approaches require a priori knowledge and the selection of a small number o
19 etrieval of these groups is done without any a priori knowledge besides the following input parameter
20 cal phenotypes provided a means of gathering a priori knowledge in the form of identification and ann
25 spectral matching and thus does not require a priori knowledge of any genetic or protein sequence in
26 g given one or more active compounds without a priori knowledge of bioactive conformations or pharmac
27 , molecularly discrete delivery devices, and a priori knowledge of carrier degradation and clearance
32 as drawbacks, most notably its dependence on a priori knowledge of expected phenotypes and time-consu
33 s, reordering of genetic elements) such that a priori knowledge of genetics and biochemistry of the p
35 efforts have mostly been undertaken without a priori knowledge of how drugs interact with P-gp at th
36 states of cell shape and forces without any a priori knowledge of how the cell will spread on a give
37 old learning technique that does not require a priori knowledge of image features or a parametric mod
38 fraction on our complete dataset without any a priori knowledge of interaction partners, and we uncov
40 Air quality planning that capitalizes on a priori knowledge of local electricity demand and econo
41 ch, which permits estimation of ELCR without a priori knowledge of mixture composition, proved to be
43 proach enables cell type conversions without a priori knowledge of potential key regulators and revea
44 phasizing local-scale effects, and including a priori knowledge of relevant natural history for the t
46 ination of ascertainment bias indicates that a priori knowledge of segregating alleles greatly affect
51 of clustered SNPs within an amplicon without a priori knowledge of specific SNP positions and can do
53 ore it is incubated with the library, and no a priori knowledge of the active protein or of the ligan
54 nrich HTD results can be carried out without a priori knowledge of the activity of compounds and resu
55 imize error suppression without the need for a priori knowledge of the ambient noise environment, and
56 onfluorescent nucleic acid is independent of a priori knowledge of the binding characteristics of the
58 protein cross-linking, particularly without a priori knowledge of the chemical nature and site of cr
59 rmed with subsequent nonblinded (ie, despite a priori knowledge of the CT colonography findings) OC r
62 tage over arrays is that it does not require a priori knowledge of the genes to be analyzed and refle
63 rnate strategies that are not dependent upon a priori knowledge of the immunodominant and subdominant
64 satellite-derived surface velocity, without a priori knowledge of the key processes from which it is
65 udy in vivo atherosclerotic lesions (without a priori knowledge of the lesion location or lesion type
66 spectra only at single points and require an a priori knowledge of the locations of the inclusion to
67 of the search space means that little or no a priori knowledge of the optimal conditions is availabl
70 ariation within the desired regions, require a priori knowledge of the position of the SNP in the gen
73 able fidelity and without invoking either an a priori knowledge of the system to be investigated or a
76 re able to accomplish this without utilizing a priori knowledge of the temporal nature of the neural
77 ed genome-wide approach that did not require a priori knowledge of the underlying cell types or the p
80 segmentation of mammalian cells, without any a priori knowledge of their composition or basis spectra
81 f a wide range of analytes, requiring little a priori knowledge of their electrophoretic properties.
82 s were clustered in coherent modules without a priori knowledge of their function through network ana
83 each trial, the algorithm detected, without a priori knowledge of their spatial or temporal structur
84 regulatory sub-networks in yeast-without any a priori knowledge of their structure or any assumptions
89 suitable for exploratory analysis where any a priori knowledge on the data is scarce or absent, henc
90 imetric diagnostic approach does not require a priori knowledge on the exact metabolite compositions
93 gene prioritization methods have focused on a priori knowledge, which excludes genes with little fun
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