ライフサイエンスコーパス: a priori knowledge

1 the HMM is restricted by the application of a priori knowledge.

2 n proteins for potential ligands without any a priori knowledge.

3 u modification landscape of a sample without a priori knowledge.

4 terize resonator networks with no or minimal a priori knowledge.

5 c colon regions and in feces, independent of a priori knowledge.

6 molecules or for dynamic systems with little a priori knowledge.

7 on for phasing of defective crystals with no a priori knowledge.

8 advantageous in detecting pathogens without a priori knowledge.

9 biological nanocomplexes, without requiring a priori knowledge.

10 olite distributions without the need for any a priori knowledge.

11 ants, simultaneously in one spectrum without a priori knowledge.

12 le phosphorylation occurring in vivo without a priori knowledge.

13 tein posttranslational modifications without a priori knowledge.

14 ntibodies in an unbiased fashion and without a priori knowledge.

15 here the composition is revealed without any a priori knowledge about cell types and their proportion

16 applied in a supervised context, i.e., using a priori knowledge about data usually in the form of lab

17 It is thought that a priori knowledge about either 3D shape is needed to in

18 to collapse over time, and to depend on the a priori knowledge about reward contingencies.

19 tition the time series into clusters without a priori knowledge about the number of clusters and the

20 It is the only method that does not rely on a priori knowledge about the population under study.

21 compute the crystal structure of S6, with no a priori knowledge about the system.

22 stical and heuristic techniques that rely on a priori knowledge about various parameter distributions

23 h-resolution studies, even in the absence of a priori knowledge about where exactly a seizure started

24 ison allow the user as much control as their a priori knowledge allows.

25 based on rational design require significant a priori knowledge and often fail to take a holistic vie

26 ne-based pharmacogenetics approaches require a priori knowledge and the selection of a small number o

27 tes in extensive benchmark data sets without a priori knowledge, and Markov transient analysis, which

28 etrieval of these groups is done without any a priori knowledge besides the following input parameter

29 algorithm maintained robust performance when a priori knowledge differed from observed variations.

30 egimen that effectively enforced local spine a priori knowledge during training.

31 Here we extend CGT to incorporate a priori knowledge from biological networks through a ga

32 and surrounding vertebrae will be important a-priori knowledge going forward.

33 cal phenotypes provided a means of gathering a priori knowledge in the form of identification and ann

34 tations and gene co-function network data as a priori knowledge in the model.

35 ical properties of the medium with the least a-priori knowledge in comparison to the other methods.

36 ining schemes that incorporated the anatomic a priori knowledge into the Btrfly Net were explored.

37 Because no a priori knowledge is used, we can identify kinetically

38 ic excess of samples of two alcohols without a priori knowledge of a calibration curve.

39 Without a priori knowledge of a reaction network or compound lib

40 east-squares fitting, this approach requires a priori knowledge of all parameters and is susceptible

41 spectral matching and thus does not require a priori knowledge of any genetic or protein sequence in

42 and scattering signatures of tissues without a priori knowledge of background or autofluorescence; an

43 g given one or more active compounds without a priori knowledge of bioactive conformations or pharmac

44 , molecularly discrete delivery devices, and a priori knowledge of carrier degradation and clearance

45 ted pleomorphic sarcoma, a test case with no a priori knowledge of cell state concordance between mou

46 ived cell mixtures since it does not rely on a priori knowledge of cell surface markers, cell sorting

47 on of cell-cell communication, which require a priori knowledge of cellular interactions, are highly

48 idemiology of mass spectral features without a priori knowledge of chemical identity.

49 ime series gene expression data, without any a priori knowledge of connectivity.

50 ethods of ad hoc parameter selection without a priori knowledge of crystal phase behavior.

51 and antibody generation and does not require a priori knowledge of domain architecture.

52 on z-stage, separate calibration sample, nor a priori knowledge of either the bead size or the optica

53 Thus, deconvolution, which incorporates a priori knowledge of electrogram morphology, shows prom

54 he process of probe optimization without any a priori knowledge of enzyme targets and has the potenti

55 as drawbacks, most notably its dependence on a priori knowledge of expected phenotypes and time-consu

56 While requiring no a priori knowledge of extant cell states or discriminato

57 elationships within populations for which no a priori knowledge of family structure exists.

58 analysis requires expert interpretation and a priori knowledge of fault systems, precluding global i

59 s, reordering of genetic elements) such that a priori knowledge of genetics and biochemistry of the p

60 r source identification; it does not require a priori knowledge of genome or protein sequences.

61 efforts have mostly been undertaken without a priori knowledge of how drugs interact with P-gp at th

62 states of cell shape and forces without any a priori knowledge of how the cell will spread on a give

63 old learning technique that does not require a priori knowledge of image features or a parametric mod

64 fraction on our complete dataset without any a priori knowledge of interaction partners, and we uncov

65 aracterize intrinsic drug resistance without a priori knowledge of its cause.

66 s, and single-cell proteomic methods rely on a priori knowledge of key distinguishing markers.

67 ure to novel small-molecule ligands, without a priori knowledge of ligand chemistry.

68 Air quality planning that capitalizes on a priori knowledge of local electricity demand and econo

69 nd lower boundary (depth 900 m), but without a priori knowledge of metabolite fluxes, chemical depth

70 ch, which permits estimation of ELCR without a priori knowledge of mixture composition, proved to be

71 ction (MOA) modeling, each of which leverage a priori knowledge of molecular subtypes of tumors or dr

72 he accurate quantification of Pu(IV) without a priori knowledge of nitric acid concentration.

73 hough the initialization of SoFi RT requires a priori knowledge of OA sources (i.e., the approximate

74 However, without a priori knowledge of pollinators, neither survey method

75 proach enables cell type conversions without a priori knowledge of potential key regulators and revea

76 any protein present with no requirement for a priori knowledge of protein identity.

77 dies, which limits multiplexing and requires a priori knowledge of protein targets.

78 phasizing local-scale effects, and including a priori knowledge of relevant natural history for the t

79 dance organisms in mixed populations without a priori knowledge of sample composition.

80 Assuming a priori knowledge of secondary structure, our method ca

81 ination of ascertainment bias indicates that a priori knowledge of segregating alleles greatly affect

82 em in an unbiased manner, independent of any a priori knowledge of sensory subtypes.

83 on analysis platform with no requirement for a priori knowledge of sequence information.

84 A priori knowledge of spatial and temporal changes in pa

85 ew amyloid-forming proteins usually requires a priori knowledge of specific candidates.

86 of clustered SNPs within an amplicon without a priori knowledge of specific SNP positions and can do

87 dent of sequenced genomes, affinity tags, or a priori knowledge of target cell composition.

88 ore it is incubated with the library, and no a priori knowledge of the active protein or of the ligan

89 nrich HTD results can be carried out without a priori knowledge of the activity of compounds and resu

90 imize error suppression without the need for a priori knowledge of the ambient noise environment, and

91 onfluorescent nucleic acid is independent of a priori knowledge of the binding characteristics of the

92 a widespread "net" for cancer cells, without a priori knowledge of the cancer type.

93 protein cross-linking, particularly without a priori knowledge of the chemical nature and site of cr

94 rmed with subsequent nonblinded (ie, despite a priori knowledge of the CT colonography findings) OC r

95 With an a priori knowledge of the cytoplasmic diffusion coeffici

96 d to perform an overview of patients without a priori knowledge of the diagnosis.

97 l number of input cells and does not require a priori knowledge of the epigenetic marks or transcript

98 ounds in complex matrices, sometimes without a priori knowledge of the exact compound of interest.

99 Our analysis approach does not require a priori knowledge of the expected positions of the node

100 ric chemistry, it can be challenging to have a priori knowledge of the factors that are most strongly

101 tage over arrays is that it does not require a priori knowledge of the genes to be analyzed and refle

102 rnate strategies that are not dependent upon a priori knowledge of the immunodominant and subdominant

103 rlier approaches in that it does not require a priori knowledge of the initial stock of resources.

104 We show that AIV can, without any a priori knowledge of the inlet and outlet boundary cond

105 satellite-derived surface velocity, without a priori knowledge of the key processes from which it is

106 udy in vivo atherosclerotic lesions (without a priori knowledge of the lesion location or lesion type

107 The MRI images provided the a priori knowledge of the liver boundary conditions for

108 spectra only at single points and require an a priori knowledge of the locations of the inclusion to

109 rom single-cell transcriptomic data, without a priori knowledge of the map of gene regulatory interac

110 of the search space means that little or no a priori knowledge of the optimal conditions is availabl

111 The procedure requires no a priori knowledge of the orbitals and is shown to be si

112 ntrolled in a predictable manner based on an a priori knowledge of the pairwise magnetic exchange int

113 This test does not require a priori knowledge of the pattern of substitutions, exte

114 ariation within the desired regions, require a priori knowledge of the position of the SNP in the gen

115 rithm, which is fully automated, requires no a priori knowledge of the properties of the body and can

116 ious components of STR signal independent of a priori knowledge of the quantity or quality of DNA.

117 A priori knowledge of the same number of binding sites a

118 e calibration is provided through the use of a priori knowledge of the sample being analyzed.

119 ts (i.e., antibodies), both of which require a priori knowledge of the sample.

120 able fidelity and without invoking either an a priori knowledge of the system to be investigated or a

121 , which allows for lifetime recovery without a priori knowledge of the system.

122 ytical challenges, and currently requires an a priori knowledge of the system.

123 dia operate at microscopic scales or require a priori knowledge of the target location for 3D imaging

124 l lines or preclinical animal models without a priori knowledge of the target.

125 thod works across datasets and tasks without a priori knowledge of the task, requires no task-specifi

126 re able to accomplish this without utilizing a priori knowledge of the temporal nature of the neural

127 It is shown that SMC, without a priori knowledge of the test sample, is able to achiev

128 ed genome-wide approach that did not require a priori knowledge of the underlying cell types or the p

129 Our analysis strongly suggests that a priori knowledge of the underlying mechanisms driving

130 It is culture independent, requires no a priori knowledge of the viruses in the sample, and may

131 segmentation of mammalian cells, without any a priori knowledge of their composition or basis spectra

132 f a wide range of analytes, requiring little a priori knowledge of their electrophoretic properties.

133 s were clustered in coherent modules without a priori knowledge of their function through network ana

134 e P450s genes from Atropa belladonna without a priori knowledge of their functions or information reg

135 each trial, the algorithm detected, without a priori knowledge of their spatial or temporal structur

136 regulatory sub-networks in yeast-without any a priori knowledge of their structure or any assumptions

137 conventional, arbitrary choices that require a priori knowledge of these variations.

138 cific cellular therapy, without the need for a priori knowledge of tumor antigen, ex vivo cellular ma

139 was evaluated that corrects for PVEs without a priori knowledge of tumor size or background.

140 rapy response was achieved without requiring a priori knowledge of tumor-expressed antigens and refle

141 contrast, fewer mechanistic models that use a priori knowledge of VMB features to develop predictive

142 rthermore, most lines were developed without a priori knowledge of where the transgenes would be expr

143 We sought to determine if a priori knowledge of where uncharacteristic wildfire is

144 Because this method does not rely on a priori knowledge of which genes are involved in acute

145 co-expression of adjusted gene-gene pairs to a-priori knowledge of highly confident gene-gene associa

146 at is suitable for clinical datasets without a priori knowledge on lesions, when combined with the st

147 With no a priori knowledge on metabolic fluxes, the PMDs are the

148 suitable for exploratory analysis where any a priori knowledge on the data is scarce or absent, henc

149 imetric diagnostic approach does not require a priori knowledge on the exact metabolite compositions

150 ver, use of this approach typically requires a priori knowledge on the level of enrichment occurring

151 Now, achieving this goal requires either a priori knowledge on the system or very demanding exper

152 The approach requires no a priori knowledge or manual customization, and is appli

153 omechanical-based mass spectrometry are: (1) a priori knowledge or measurement of the device mode-sha

154 rs to upload and explore results without any a priori knowledge or the need to install, update and ma

155 rs to upload and explore results without any a priori knowledge or the need to install, update, and m

156 (DIFI), a method that numerically integrates a priori knowledge, represented as a sparse knowledge ma

157 Specifically, a priori knowledge via selection of the overtone used to

158 gene prioritization methods have focused on a priori knowledge, which excludes genes with little fun

159 d metabolites and relative producers without a priori knowledge will vastly enhance the understanding

160 pattern recognition approach that integrates a priori knowledge with expression data.

161 Such a priori knowledge would greatly empower serial monitori