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1 s used to determine odds ratios (ORs) by the maximum likelihood method.
2  We used random-effects models with residual maximum likelihood method.
3 is run over bootstrap trees estimated by the maximum likelihood method.
4  Phylogenetic trees were generated using the maximum likelihood method.
5  area and estimated genetic ancestry using a maximum likelihood method.
6                       We develop a penalized maximum likelihood method.
7 adation rate constants were estimated by the maximum likelihood method.
8 ed to cause problems when analyzed using the maximum likelihood method.
9 r-joining analyses and were confirmed by the maximum-likelihood method.
10 ical model and algorithm using the classical maximum-likelihood method.
11 miliality in nondiabetic Pima Indians with a maximum-likelihood method.
12                  This improves on a previous maximum-likelihood method.
13 g, minimum evolution, maximum parsimony, and maximum likelihood methods.
14 ss Monogononta, employing distance based and maximum likelihood methods.
15 ed with the results of maximum parsimony and maximum likelihood methods.
16 umventing the difficulties that are faced by maximum likelihood methods.
17 ype frequencies were estimated with standard maximum likelihood methods.
18 ol-based deworming programme in Uganda using maximum likelihood methods.
19 mous substitutions with multiple codon-based maximum likelihood methods.
20 data, an improvement over more commonly used maximum likelihood methods.
21 American milkweed species (Asclepias), using maximum likelihood methods.
22 id clades based on phylogenetically-informed maximum likelihood methods.
23 of normal-model multiple imputation (MI) and maximum likelihood methods.
24  were conducted using Bayesian inference and maximum likelihood methods.
25 ents and with a precision similar to that of maximum likelihood methods.
26 tes, and Rodentia using both approximate and maximum-likelihood methods.
27  with distance-based, maximum-parsimony, and maximum-likelihood methods.
28 n be characterized more accurately than with maximum-likelihood methods.
29 ur major predictions of defense theory using maximum-likelihood methods.
30  multiple traits, most of which are based on maximum-likelihood methods.
31 t-matching methods fit the tails better than maximum-likelihood methods.
32 ucted for these sequences using Bayesian and maximum-likelihood methods.
33                                        Using maximum-likelihood methods, a credible phylogeny was der
34        Phylogenetic analysis by distance and maximum likelihood methods allowing for intersite rate v
35                                              Maximum likelihood methods always performed better than
36 ymous (dN/dS) analyses were performed with a maximum likelihood method and an approximate method for
37 as correction approaches-the Firth penalized maximum likelihood method and Cordeiro and McCullagh's b
38 es finite and less biased estimates than the maximum likelihood method and Cordeiro and McCullagh's m
39                                  Here we use maximum likelihood methods and bootstrap methods to inve
40 ates from three FST estimators, a coalescent maximum-likelihood method and Bayesian recent migration
41 gated placental phylogeny using Bayesian and maximum-likelihood methods and a 16.4-kilobase molecular
42 ing ancestral sequences through Bayesian and Maximum Likelihood methods, and/or by resurrecting ances
43                                    This is a maximum-likelihood method, applicable to data on the num
44 ata can be used for parameter estimation via maximum likelihood methods as long as the way in which t
45 tional on the gene tree, were made using new maximum likelihood methods assuming a coalescent model.
46 III were tested for positive selection using maximum likelihood methods based on models of codon subs
47                                              Maximum-likelihood methods based on models of codon subs
48  we find a significant correlation if we use maximum-likelihood methods but not if we use algorithmic
49 eases computation efficiency compared to the maximum likelihood method, but also guarantees non-negat
50             It is currently implemented as a maximum-likelihood method, but this model may also serve
51                                          The maximum likelihood method can provide substantial power
52   Recent research suggests that model-based, maximum likelihood methods can improve these analyses.
53                            However, existing maximum-likelihood methods can be prohibitively computat
54             This model, implemented with the maximum likelihood method, capitalizes on a network of r
55 ially matches the conjectured performance of maximum likelihood methods--challenging the idea that su
56                       Here, we develop a new maximum likelihood method, CNETML, to infer phylogenies
57 heat, and phylogenetic analysis based on the Maximum Likelihood method demonstrated a separation into
58                                              Maximum likelihood methods (designed to handle complex g
59 simony method of Suzuki and Gojobori and the maximum likelihood method developed from the work of Nie
60                                              Maximum-likelihood methods facilitate parameter estimati
61 imony, neighbor-joining, Fitch-Margolish, or maximum likelihood methods failed to show the clustering
62 genetic tree in the SG method, and present a maximum likelihood method for detecting positive selecti
63                                We describe a maximum likelihood method for direct estimation of rate
64          We develop a new X-chromosome-based maximum likelihood method for estimating present-day hum
65                                 We present a maximum likelihood method for inferring reticulate evolu
66 ction using neighbor-joining, parsimony, and maximum likelihood methods for 23S rRNA gene sequence da
67  algorithm for haplotype reconstruction with maximum likelihood methods for bottleneck inference.
68                          We present modified maximum likelihood methods for estimating haplotype freq
69     We have developed weighted parsimony and maximum likelihood methods for inferring gain and loss e
70    Computer simulations are used to evaluate maximum likelihood methods for inferring male fertility
71 rce code for phylogenetic analysis using the maximum likelihood methods for parallel execution on mul
72              The model also meshes well with maximum likelihood methods for phylogenetic analysis.
73                                            A maximum-likelihood method for demographic inference is a
74                        This paper develops a maximum-likelihood method for estimating gene expression
75 incorporate disease prevalence and develop a maximum-likelihood method for estimating L that uses the
76                                 We present a maximum-likelihood method for examining the selection pr
77              Here, we propose an approximate maximum-likelihood method for fitting MGPMs to comparati
78                                 We develop a maximum-likelihood method for mapping multiple binary tr
79                                            A maximum-likelihood method for the estimation of allele f
80                               We developed a maximum-likelihood method for the estimation of recent s
81                                            A maximum-likelihood method for the estimation of tetrad f
82                                          New maximum-likelihood methods for analyzing gene trees on t
83 imating these parameters using parsimony and maximum-likelihood methods for each of the random topolo
84                      We applied Bayesian and maximum-likelihood methods for estimating the number of
85                                   We develop maximum-likelihood methods for interval mapping for both
86                                              Maximum-likelihood methods for multiple microarray exper
87 ns (GEE), as a potential alternative to full maximum-likelihood methods, for performing segregation a
88 ance based methods though not as accurate as maximum likelihood methods from good quality multiple se
89 a wide range of statistical techniques (e.g. maximum likelihood methods, generalized additive models,
90 nalysis of the HLA data demonstrate that the maximum likelihood method has good power and accuracy in
91                                              Maximum likelihood methods have become mainstream becaus
92                                              Maximum-likelihood methods identified optimal high-risk/
93         These estimates are obtained through maximum-likelihood methods implemented with the EM algor
94                                              Maximum likelihood methods incorporating all available d
95 bination of distance, maximum parsimony, and maximum likelihood methods indicate that heliobacteria a
96                                          The maximum likelihood method is also shown to out-perform m
97                                            A maximum likelihood method is used to estimate parameters
98                            The mixture model maximum-likelihood method is commonly adopted for interv
99                                        A new maximum-likelihood method is developed for estimating un
100                           In this article, a maximum-likelihood method is developed to map QTL segreg
101 rogression of the tumor and that the partial maximum likelihood method of Greenman et al. (2012) can
102                  In this study, we develop a maximum likelihood method of QTL mapping under selective
103 nt cytotoxicity prior to cleavage, we used a maximum likelihood method of reconstructing ancestral st
104                                Parsimony and maximum likelihood methods of phylogenetic tree estimati
105                                              Maximum likelihood methods of simultaneously constructin
106 on of seven different substitution models by maximum-likelihood methods revealed that the fit of the
107 ds-comparing alternative distributions using maximum likelihood methods-showed the strongest support
108 ing maximum parsimony, neighbor-joining, and maximum likelihood methods strongly support a D. yakuba-
109 st for various factors that typically affect maximum likelihood methods, such as number of taxa, leve
110                     Modelled residency using maximum likelihood methods suggests they spent 60.7 +/-
111  this mechanism, were fitted to data using a maximum likelihood method that uses the Hawkes-Jalali-Co
112 trices, methods based on Markov triples, and maximum likelihood methods that infer the substitution p
113 ucted a genome scan of diabetes status using maximum likelihood methods that model affection status b
114            In this paper, we present a novel maximum-likelihood method that estimates allele fraction
115                  Here, we extend an existing maximum-likelihood method that estimates the DFE under t
116 this problem, we developed Recon, a modified maximum-likelihood method that outputs the overall diver
117 old model fitting using the full information maximum likelihood method to estimate genetic and enviro
118                            Here we propose a maximum likelihood method to estimate the contribution o
119                            We also develop a maximum likelihood method to estimate the fraction of tr
120 st year and we employed the full information maximum likelihood method to handle missing data on four
121 case-control analysis employing the marginal maximum likelihood method to infer genotypes of relative
122                               We developed a maximum likelihood method to map these QRL.
123 from the standard QST approach and applied a maximum likelihood method to mitigate noise.
124 hylogenetic tree inference with Bayesian and maximum likelihood methods to elucidate the pattern of e
125                          We have applied two maximum likelihood methods to infer the ancestral GC con
126 50 representatives of the DMSOR family using maximum likelihood methods to investigate the evolution
127                    In this article, we use a maximum-likelihood method to develop a general polyploid
128                          We have developed a maximum-likelihood method to employ explicit population
129                 We implemented a Monte Carlo maximum-likelihood method to fit a subdivided-population
130 ly ascertained, linked families, by use of a maximum-likelihood method to incorporate both cancer-inc
131                                 We develop a maximum-likelihood method to measure such frequency-depe
132           Here we extend previous moment and maximum-likelihood methods to allow the joint estimation
133 ng exons in 12 primate species and, by using maximum-likelihood methods to determine sites under posi
134 study we reexamine those relationships using maximum-likelihood methods to estimate substitution rate
135 ion of the NBS-LRR domain architecture, used maximum-likelihood methods to infer a phylogeny of the N
136                                  Here we use maximum-likelihood methods to test for Levy patterns in
137 ty-sensitive method, instead of the standard maximum-likelihood method, to maximize directly the expe
138 tigated in comparison with the mixture model maximum likelihood method under high heritabilities, dom
139 ds the work of Weir & Cockerham by employing maximum likelihood methods under the assumption that all
140                   In this paper we present a maximum likelihood method useful for measuring divergent
141 e specific energy values are determined by a maximum likelihood method using examples from in vitro r
142                                            A maximum likelihood method using the expectation-maximiza
143                                          The maximum likelihood method was used to estimate the param
144 -level meta-analytic model with a restricted maximum likelihood method was used.
145            A Tobit regression analysis using maximum likelihood methods was utilized.
146                                 By using the maximum likelihood method, we made a genome-wide compari
147            Using the genome-based restricted maximum likelihood method, we partitioned the genome int
148                                        Using maximum likelihood methods, we found that both the trans
149                                      Using a maximum-likelihood method, we estimated that the familie
150                                              Maximum likelihood methods were used to partition the va
151                                              Maximum likelihood methods were used to study the differ
152                                              Maximum-likelihood methods were used to estimate the var
153     Our approach is based on a probabilistic maximum likelihood method, which is necessary to disenta
154 rSimonian and Laird method or the restricted maximum likelihood method with Knapp-Hartung adjustment.
155                 Here, we develop and apply a maximum likelihood method with the aim of improving dete
156               This bias was eliminated using maximum likelihood methods with separate branch lengths
157                     Thus, we recommend using maximum likelihood methods with separate H and L chain p
158 ated alignments were evaluated thoroughly by maximum-likelihood methods, with each of the three herpe

 
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