ライフサイエンスコーパス: Bayesian method

1 d error due to inconsistency assessed with a Bayesian method.

2 subjects but there were no failures with the Bayesian method.

3 tionary processes using a recently developed Bayesian method.

4 g sensitivity and specificity values using a Bayesian method.

5 were performed using maximum likelihood and Bayesian methods.

6 e reconstructed using maximum likelihood and Bayesian methods.

7 dy provides a clinically relevant example of Bayesian methods.

8 y describe the relationships among different Bayesian methods.

9 m implausibly high can be moderated by using Bayesian methods.

10 letidae basal") based both on likelihood and Bayesian methods.

11 state-space models using both classical and Bayesian methods.

12 erivation of trees by maximum-likelihood and Bayesian methods.

13 ad and neck cancer-were instead monitored by Bayesian methods.

14 throughput biological data through empirical Bayesian methods.

15 eatment comparison (MTC) was performed using Bayesian methods.

16 urable polymer everolimus-eluting stent with Bayesian methods.

17 ve number (R0) of clusters were estimated by Bayesian methods.

18 l connections between maximum likelihood and Bayesian methods.

19 PV type infections were estimated using semi-Bayesian methods.

20 ncluding parsimony, distance, likelihood and Bayesian methods.

21 als for all reported effect sizes, none used Bayesian methods, 1 used false-discovery rates, 3 used s

22 We develop an agent-based Bayesian method and apply it to Australia's largest erad

23 Here, the basis of differences between the Bayesian method and the classical or frequentist approac

24 view recently developed and still developing Bayesian methods and associated computer software for ma

25 nce of edge strengths can be evaluated using Bayesian methods and bootstrapping.

26 Then, using Bayesian methods and well-supported fossil calibration c

27 We mapped HIV prevalence with Bayesian methods, and characterised variability across a

28 larval tick burden datasets via hierarchical Bayesian methods, and use it to explore the relative con

29 12, 2p16.3, 16p13.1 and 16p11.2 with a novel Bayesian method applied to pooled data from published ca

30 Bayesian methods are developed to identify fluorophore p

31 Classical and Bayesian methods are presented.

32 g ancestral sequences and concludes that the Bayesian method, as implemented by MRBAYES 3.11, is pref

33 We develop an empirical Bayesian method based on the beta-binomial distribution

34 We developed a Bayesian method, based on allelic frequency, to estimate

35 Recently, the Bayesian method becomes more popular for analyzing high

36 A Bayesian method (BPEC) was used to detect four geographi

37 The Bayesian method builds on a hierarchical model that acco

38 that FastHiC not only speeds up our original Bayesian method by more than five times, bus also achiev

39 provide an accessible tutorial on the use of Bayesian methods by focusing on example applications tha

40 A neural network trained using Bayesian methods can correctly predict about 75% of the

41 Bayesian methods can jointly infer the number of QTL, th

42 eotide datasets using maximum likelihood and Bayesian methods, comprising all 13 mitogenomes currentl

43 ene divergence time estimates obtained using Bayesian methods confirm an early origin of Stratum 1 ge

44 Our fully Bayesian method couples the iHMM to a continuous control

45 tion events, and phylogenetic analysis using Bayesian methods, demonstrated that new KIR were usually

46 hose inferred by commonly-used parsimony and Bayesian methods demonstrates that statistical tests of

47 The new Bayesian methods described here and other related method

48 n sensitivity in a threshold fashion, with a Bayesian method-estimated threshold (325 mg) (beta=0.060

49 ics, non-parametric approaches and empirical Bayesian methods etc.

50 sed on posterior predictive checks (PPCs), a Bayesian method for assessing the quality of fit of a st

51 stence of this transform is used to derive a Bayesian method for converting noisy measurements of sub

52 A Bayesian method for determining if there are large depar

53 In this paper, we present a fully Bayesian method for directly comparing models of confide

54 We introduce a Bayesian method for estimating parameters for a model of

55 We then illustrate the advantages of a new Bayesian method for estimating period, which outperforms

56 tic model of the rearrangement process and a Bayesian method for estimating posterior probabilities f

57 monstrate how a recently developed empirical Bayesian method for HMMs can be extended to enable a mor

58 We develop SparScape, a penalized Bayesian method for identifying DBFs active in the consi

59 We present a hierarchical Bayesian method for identifying genetic interactions thr

60 variable selection methodology to develop a Bayesian method for identifying multiple quantitative tr

61 We present a Bayesian method for inferring the phylogenetic relations

62 Specifically, I use the distance-based Bayesian method for inferring the single most likely anc

63 We present a Bayesian method for linking markers to censored survival

64 A Bayesian method for mapping linked quantitative trait lo

65 We describe a fast hierarchical Bayesian method for mapping quantitative trait loci by h

66 First, we present a Bayesian method for model selection that accounts for re

67 This article presents a Bayesian method for model-based clustering of gene expre

68 Here we present a Bayesian method for multiple-tissue experiments focusing

69 In this article, the authors describe a Bayesian method for obtaining adjusted results from a di

70 We propose a bayesian method for probabilistic population projections

71 A fully Bayesian method for quantitative genetic analysis of dat

72 We propose a fully Bayesian method for reverse engineering a gene interacti

73 We propose a Bayesian method for the problem of multiple hypothesis t

74 ultiple linked genetic markers was used in a Bayesian method for the statistical mapping of quantitat

75 We present a Bayesian method for the unsupervised integrative modelli

76 Some general likelihood and Bayesian methods for analyzing single nucleotide polymor

77 accuracy and power of maximum likelihood and Bayesian methods for detecting site-specific positive Da

78 The authors describe 4 Bayesian methods for imputing the missing data based on

79 pare and contrast three previously published Bayesian methods for inferring haplotypes from genotype

80 We derive Bayesian methods for selecting the best locus order base

81 mation algorithms as well as frequentist and Bayesian methods for uncertainty analysis have been impl

82 ods: The response function is inferred using Bayesian methods from the observed trajectories of bacte

83 Using simulated datasets, the Bayesian method generally fares better than the ML appro

84 Eyes progressing only by the Bayesian method had faster rates of change than those pr

85 n empirical salmon dataset revealed that our Bayesian method had the highest ratio of correct to inco

86 The Bayesian method has been used to construct a PGRN based

87 It is little understood that Bayesian methods have a data-based core, which can be us

88 To date, however, Bayesian methods have been largely restricted to the Var

89 Bayesian methods have been shown to provide accurate tra

90 Hierarchical Bayesian methods have been used in previous papers to es

91 Bayesian methods have proven successful in building comp

92 Bayesian methods have seen an increase in popularity in

93 The bayesian method identified a significantly higher propor

94 In addition, the bayesian method identified a significantly higher propor

95 A Bayesian method identified the largest p-value threshold

96 , the multiplicative method outperformed the Bayesian method if actual tap water consumption rates we

97 the QTL parameters is obtained by using the Bayesian method implemented by Markov chain Monte Carlo

98 Here, we present a Bayesian method implemented in the program BORICE (Bayes

99 s study, we investigate the application of a Bayesian method implemented via the Markov chain Monte C

100 Our results demonstrate the utility of Bayesian methods in genetic epidemiology and provide sup

101 It differs from classical Bayesian methods in which a classification model is assu

102 Specifically, Bayesian methods incorporating rate variation significan

103 We here propose GeneCodeq, a Bayesian method inspired by coding theory for adjusting

104 celebrated power analysis, we show that the Bayesian method is comparable to the frequentist one and

105 The generality and flexibility of the Bayesian method is illustrated when a Lorenz curve is to

106 simulated data, we show that the variational Bayesian method is more accurate in finding the true num

107 array datasets and show that the variational Bayesian method is more sensitive to capturing biologica

108 First, a recursive Bayesian method is presented for probabilistically chara

109 We propose using a simulation-based, Bayesian method known as Approximate Bayesian Computatio

110 s jointly with genomic breeding values using Bayesian methods may prevent that decline.

111 teraction term explicitly, our nonparametric Bayesian method measures the importance of each QTL, irr

112 We present a Bayesian method of base calling, BM-BC, for Solexa-GA se

113 Here we present a new Bayesian method of counting steps in photobleaching time

114 veral other methods, including the empirical Bayesian method of Efron et al. and the Significance Ana

115 A abundance for 3,143 of these genes using a Bayesian method of statistical analysis.

116 ations within species and are well suited to Bayesian methods of assigning unknown individuals to pop

117 pares parsimony, maximum likelihood, and the Bayesian methods of inferring ancestral sequences and co

118 s were analyzed using maximum likelihood and Bayesian methods of phylogenetic inference.

119 The Bayesian method outperformed the multiplicative method i

120 The outperformance of our Bayesian method over the traditional single-marker analy

121 The Bayesian method proposed by Barry and Hartigan is well s

122 Bayesian methods provide natural modeling frameworks for

123 Bayesian methods provide such an alternative, and our ap

124 We have developed a novel Bayesian method, PurBayes, to estimate tumor purity and

125 n of individual slopes of MD change with the Bayesian method resulted in better prediction of future

126 In addition, we show that the Bayesian method serves as an alternative or even better

127 and S segments, using maximum-likelihood and Bayesian methods, showed that NVAV was most closely rela

128 netic analyses, using maximum-likelihood and Bayesian methods, showed that RKPV shared a most recent

129 etic analysis of the DNA (COI) barcodes with Bayesian methods shows that this "species" is a long-sta

130 umans as the primary bacterial vector, and a Bayesian method significantly matched individuals to the

131 Two of the Bayesian methods (STRUCTURE and BAPS) and phylogenetic r

132 Bayesian methods support the current guidelines, which w

133 are shrunk by the same factor, we develop a Bayesian method that allows the shrinkage factor to vary

134 he interactions in PIPs were calculated by a Bayesian method that combines information from expressio

135 ture review-derived, study data-based, and a Bayesian method that combines prior knowledge with study

136 come these difficulties, we have developed a Bayesian method that estimates the empirical pattern of

137 genetic analyses using maximum parsimony and Bayesian methods that address the origin and diversifica

138 We introduce an empirical bayesian method to accurately characterize the molecular

139 We propose a Bayesian method to call indels from short-read sequence

140 We used a Bayesian method to compare the outcomes of 67 acute myel

141 We developed a rigorous Bayesian method to detect CNVs in the genes, based on re

142 We introduce here a hierarchical Bayesian method to detect local adaptation that can deal

143 Markov chain Monte Carlo (MCMC) implemented Bayesian method to estimate both the main and the intera

144 binary time series, we used a nonparametric Bayesian method to estimate pairwise directional correla

145 Here I apply an extremely conservative Bayesian method to estimate the number of recent amphibi

146 ameters through a maximum a posteriori (MAP) Bayesian method to facilitate the method development pro

147 We propose a Bayesian method to include probe-level measurement error

148 We propose a new Bayesian method to infer population structures using mul

149 We propose a Bayesian method to infer the perturbation time given tim

150 ostic Factor Impact Calculator, which uses a Bayesian method to make adjustments based on relative ri

151 Here we present a nonparametric Bayesian method to map multiple quantitative trait loci

152 We present a Bayesian method to model the association between an HPO-

153 ble approximate expected loglikelihood-based Bayesian method to perform network inference given this

154 se a hidden Markov random field (HMRF) based Bayesian method to rigorously model interaction probabil

155 using phylogeny-based maximum likelihood and Bayesian methods to detect Darwinian selection on the ch

156 to screen birds for infections and then used Bayesian methods to determine phylogenetic relationships

157 We used Bayesian methods to estimate the posterior probability d

158 ose of this study is to use updated data and Bayesian methods to evaluate the effectiveness of hypero

159 of coalescent, maximum likelihood (ML), and Bayesian methods to population genetic data combined wit

160 f maximum-likelihood, maximum-parsimony, and Bayesian methods to the resulting data sets, P. penetran

161 ecision proxy climate data, analyzed through Bayesian methods, to provide evidence for a rapid climat

162 The Bayesian method was compared with the conventional ordin

163 A nonparametric Bayesian method was used to construct growth velocity tr

164 The Bayesian method was validated and found to perform bette

165 Using Bayesian methods we infer parameters for each model from

166 With the Bayesian method, we were able to handle situations in wh

167 Taking advantage of the merits of empirical Bayesian methods, we have developed EBSeq for identifyin

168 Using direct overlap and Bayesian methods, we identified new potential target gen

169 imates of sensitivity and specificity of the bayesian method were compared with those obtained by the

170 genetic analyses, Statistical Parsimony, and Bayesian methods were used to infer genetic diversity, g

171 Maximum likelihood, maximum parsimony, and Bayesian methods were used to infer phylogenies from the

172 Bayesian methods were used to test for mediation.

173 ovel hidden Markov random field (HMRF) based Bayesian method, which through explicitly modeling the n

174 lmnet is an R package implementing empirical Bayesian method with both lasso (EBlasso) and elastic ne

175 s each individual to a population by using a Bayesian method with multiple tuning parameters.

176 hort-range LD information well, we recommend Bayesian methods with t-distributed priors.

177 These Bayesian methods (with the aid of Markov chain Monte Car

178 A biexponential analysis with the Bayesian method yielded true diffusion coefficient (D),

179 the DNA+morphology data set by parsimony and Bayesian methods yielded a single well supported family-

180 nary search (REBS), and a procedure the uses Bayesian methods (zippy estimation of sequential testing