戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (１語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1 ntrols all of Caucasian origin as defined by multidimensional scaling.
2 ere subjected to hierarchical clustering and multidimensional scaling.
3 to a geostatistical modeling framework using multidimensional scaling.
4               By combining path metrics with multidimensional scaling, a low dimensional embedding of
5 ing matrix are ordered for imaging using the multidimensional scaling algorithm with connectivity inf
6 e correlations, hierarchical clustering, and multidimensional scaling algorithms were used to dissect
7        However, samples clustered apart in a multidimensional scaling analyisis.
8 tics, model-based clustering algorithms, and multidimensional scaling analyses, demonstrating the spe
9 ith AKT activation and clustered together in multidimensional scaling analyses.
10                             Phylogenetic and multidimensional-scaling analyses of CR sequences and SS
11                This finding was supported by multidimensional scaling analysis (MDS), which revealed
12 s was then applied in the form of non-metric multidimensional scaling analysis (NMDS), permutational
13                                    Nonmetric multidimensional scaling analysis between the control an
14                                            A multidimensional scaling analysis grouped noncontingent
15                                              Multidimensional scaling analysis indicated a general se
16 with the first two components derived from a multidimensional scaling analysis of a behaviorally deri
17                                            A multidimensional scaling analysis of genetic distances,
18 00 microarray, template-based clustering and multidimensional scaling analysis of the gene expression
19                                              Multidimensional scaling analysis of the RNA expression
20 ng distance as a marker of interrelatedness, multidimensional scaling analysis revealed a close assoc
21                                              Multidimensional scaling analysis revealed that each spe
22 tion450 Beadchips and found they differed in multidimensional scaling analysis.
23                                              Multidimensional scaling and a hierarchical cluster anal
24 Cytokine data was integrated using nonmetric multidimensional scaling and factor analysis.
25                           Concept maps using multidimensional scaling and hierarchical cluster analys
26 ed stochastic neighbour embedding, multiview multidimensional scaling and multiview minimum curviline
27                                     By using multidimensional scaling and other approaches, we show t
28                                   Non-metric multidimensional scaling and PICRUSt2 functional analysi
29 ncing and explore population structure using multidimensional scaling and population-based clustering
30     Analysis of haplogroup frequencies using multidimensional scaling and principal component plots,
31 count normalization, enrichment calculation, multidimensional scaling, and more, and (iii) a Streamli
32  distance values following a Bayesian Metric Multidimensional Scaling Approach.
33 ay, we performed hierarchical clustering and multidimensional scaling, as well as univariate and mult
34                  Third, we applied classical multidimensional scaling (CMDS) to align ("synchronize")
35 placement of organ donation on the resulting multidimensional scaling dimension differed significantl
36 ces between population groups only for a few multidimensional scaling dimensions.
37     In addition, a new objective function of multidimensional scaling for modelling chromatin or TADs
38 atures comprise statistical tests as well as multidimensional scaling, heatmap and hierarchical clust
39                                    Nonmetric multidimensional scaling indicated that the species comp
40            Genetic ancestry was estimated by multidimensional scaling (MDS) analyses of about 500 000
41 nine different mouse tissues and organs, and multidimensional scaling (MDS) analysis of data showed b
42                                              Multidimensional scaling (MDS) analysis of odorant patte
43                                            A multidimensional scaling (MDS) analysis of the dissimila
44                                              Multidimensional Scaling (MDS) analysis using log-transf
45                                              Multidimensional scaling (MDS) and analysis of molecular
46                           We used non-metric multidimensional scaling (MDS) and structural equation m
47             We compare SANJAY to the popular multidimensional scaling (MDS) approach for visualizatio
48            Further, we propose to use metric multidimensional scaling (MDS) as an alternative to PCoA
49 ing information is processed by means of the multidimensional scaling (MDS) clustering and visualizat
50 ed as an extension of the PCA method and the multidimensional scaling (MDS) method.
51 s computationally intensive methods, such as multidimensional scaling (MDS) of the pairwise root mean
52 daic efficiency and critical potential using multidimensional scaling (MDS) results based on physical
53  have developed miniMDS, an approximation of multidimensional scaling (MDS) that partitions a Hi-C da
54                                   We applied multidimensional scaling (MDS) to construct T cell epito
55  then optimize an objective function akin to multidimensional scaling (MDS) to infer a 3D model.
56                              We used inverse multidimensional scaling (MDS) to measure the extent to
57                                              Multidimensional scaling (MDS) was employed to investiga
58                We demonstrate that classical multidimensional scaling (MDS), a widely used dimensiona
59 stering, Principal Component Analysis (PCA), Multidimensional Scaling (MDS), and t-distributed Stocha
60 sting cartography methods, commonly based on multidimensional scaling (MDS), face significant challen
61      Many existing inference methods rely on multidimensional scaling (MDS), in which the pairwise di
62 ch as principal component analysis (PCA) and multidimensional scaling (MDS), our approach is capable
63  with novel implementations of interpolative multidimensional scaling (MDS), we have developed an eff
64 performed the baseline using the approximate multidimensional scaling (MDS, the most relevant method
65                                   Non-metric multidimensional scaling methods and generalized linear
66 ions using the Hellinger diversity index and multidimensional scaling methods.
67 ualizing beta -diversity, using results from multidimensional scaling methods; and animating relation
68                    We applied both nonmetric multidimensional scaling (NMDS) and non-negative matrix
69 alysis of Similarity (ANOSIM) and Non-metric Multidimensional Scaling (NMDS) indicated substantial di
70                                   Non-Metric Multidimensional Scaling (NMDS) of foraging locations re
71                                   Non-metric multidimensional scaling (NMDS) of the gut microbial com
72 h principal component analysis and nonmetric multidimensional scaling (nMDS) to capture the major str
73                                   Non-Metric Multidimensional Scaling (nMDS) was used to graphically
74 alysis of variance (PERMANOVA) and nonmetric multidimensional scaling (NMDS), we found that POP conge
75 gression) and for population stratification (multidimensional scaling of genome-wide markers).
76                                   Crucially, multidimensional scaling of population responses reveale
77 om two to seven residue lengths by employing multidimensional scaling on a data matrix composed of pa
78 h as principal components analysis (PCA) and multidimensional scaling, or using explicit spatial prob
79 reastfed and formula-fed children (nonmetric multidimensional scaling, P = 0.001).
80 ses (Principal Component Analysis, Classical Multidimensional Scaling, Partial Least Squares analysis
81                                            A multidimensional scaling plot placed six of the seven Je
82                                              Multidimensional scaling plots visually distinguished ca
83  evidence for three clusters with the aid of multidimensional scaling plots.
84         The idea is to project the classical multidimensional scaling problem into the data spectral
85 ariate analyses like principal components or multidimensional scaling reveal a number of hidden patte
86                                              Multidimensional scaling separated HIV-infected individu
87                                              Multidimensional scaling showed that samples from BRSV c
88                                              Multidimensional scaling showed that the in vivo transcr
89                                        Using multidimensional scaling techniques (MDS) the similarity
90                                 chroGPS uses multidimensional scaling techniques to represent similar
91                             The authors used multidimensional scaling to analyze the perceptual simil
92  frequency of 127 HLA alleles, and then used multidimensional scaling to evaluate the possible cluste
93 rst, we used Partitioning Around Medoids and multidimensional scaling to identify multimorbidity clus
94   Here, we investigate this finding by using multidimensional scaling to predict the locations of neu
95                          Using the method of multidimensional scaling to represent the relationships
96 ) and UK Biobank (general population sample) multidimensional scaling was applied to genetic variants
97                                              Multidimensional scaling was then used to analyse differ
98                                    Nonmetric multidimensional scaling was used to assess the signific
99                                        Using multidimensional scaling, we also found that the neural
100                                        Using Multidimensional Scaling, we show that a reasonable degr