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1 ween the GOS-specific dendrogram and overall dendrogram.
2 ters are defined by cutting branches off the dendrogram.
3 ical clustering on these genes to generate a dendrogram.
4 ut were more widely scattered throughout the dendrogram.
5 n configurations and hierarchical clustering dendrograms.
6  clustered together at >95% similarity in DL dendrograms.
7 hibits suboptimal performance on complicated dendrograms.
8 stance measures, which also produce trees or dendrograms.
9 ch related isolates were grouped together in dendrograms.
10 orithms that generated hierarchic clustering dendrograms.
11 luster analysis and visual representation as dendrograms.
12 e it was not reproducible in combined-cycler dendrograms.
13 and URA5 sequences was performed to generate dendrograms.
14                                Based on HCA, dendrogram-1 (nutrients) and dendrogram-2 (minerals, ant
15                                       In the dendrogram-1 and 2, the largest cluster had (n = 21) and
16   Based on HCA, dendrogram-1 (nutrients) and dendrogram-2 (minerals, anti-nutrients) were produced, h
17 rotype discrimination noted in single-cycler dendrograms actually represented assay variability, sinc
18                                              Dendrogram analyses of all the synaptic connections betw
19                                          The dendrogram analysis of PFGE patterns included 32 distinc
20                                              Dendrogram analysis separated these two isolate types ba
21                                              Dendrogram analysis was used to establish genetic relate
22            Repetitive sequence-based PCR and dendrogram analysis were used to determine strain simila
23 used to construct a radial neighbour-joining dendrogram and examine intra- and interpopulation varian
24 remained consistent between the GOS-specific dendrogram and overall dendrogram.
25 accessions into five major clusters based on dendrogram and principal component analyses.
26 treated plants was used to construct a lipid dendrogram and to define clusters and sub-clusters of li
27 rom Mexico clustered closely together in the dendrogram and were distinct from the rest of the popula
28  using various visualizations in the form of dendrograms and network plots, which assisted in determi
29  were analysed using descriptive statistics (dendrograms and PCA).
30 ere analyzed through hierarchical clustering dendrograms and self-organizing maps.
31                                The resulting dendrogram averages the evolutionary history of thousand
32                                            A dendrogram based on the overall similarity of the patter
33                                            A dendrogram based on the PFGE patterns revealed profound
34 don-pair frequencies were used to generate a dendrogram based on the unique patterns of codon and cod
35 rthologous protein domains and constructed a dendrogram based on their compositional similarities.
36 quilibrium and generate relatively congruent dendrograms based on distance and parsimony methods sugg
37                                      Because dendrograms based on ITS sequence analysis are similar i
38  made to detect gene-gene synergies, such as dendrogram-based I(X 1; X 2; Y) (mutual information), do
39                      Our results showed that dendrogram-based I(X 1; X 2; Y) and doublets are helples
40                        It is unclear whether dendrogram-based I(X 1; X 2; Y) and doublets can capture
41                                      rep-PCR dendrogram cluster analysis showed agreement with specie
42          Multiple alignments are guided by a dendrogram computed from a matrix of all pairwise alignm
43 ugh the ligand for GIR is still unknown, the dendrogram construction indicates that GIR may belong to
44                           Independent of the dendrogram construction, 13 signature variations in the
45 imers and computer-assisted gel analysis and dendrogram construction.
46               Based on morphological data, a dendrogram created with NTSYS-pc software categorized th
47                                     By using dendrogram data from six adult cat alpha motoneurons, we
48  to those of unrelated control isolates in a dendrogram demonstrated a higher degree of clustering of
49  cutting methods for detecting clusters in a dendrogram depending on their shape.
50 M) = 1.2% +/- 0.8%) as well as by the use of dendrograms derived from Dice coefficient-unweighted pai
51 pended on the level of semantic information: dendrograms derived from semantic domains (word, image,
52                                            A dendrogram describing total inferred sequence similarity
53 diagram linked to the resulting bootstrapped dendrogram for each gene family.
54 result of the DGSOT is easily displayed as a dendrogram for visualization.
55 r degree of clustering was observed in mixed dendrograms for HCV isolates and BSI isolates for each o
56                                              Dendrograms from the secondary prosencephalon, diencepha
57                                            A dendrogram generated from ML-curated data exhibited a hi
58 ew York City isolates was congruent with the dendrogram generated from the CNRE-1 RFLP data.
59 ir separation into two major clusters in the dendrogram generated on the basis of RFLP data.
60 e cluster characteristics of BSI isolates in dendrograms generated for each hospital compared to thos
61 cluding Excel and comma-delimited text), and dendrogram, heat map, and scatter plot images can be sav
62 g scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and cor
63 e pairwise dissimilarity measures, including dendrograms, heatmap, principal coordinate analysis and
64                            Here we report a 'dendrogram' (hierarchical tree-diagram) analysis that re
65                                            A dendrogram identified a gene expression fingerprint of F
66                             Furthermore, the dendrogram indicates that both types of TE IIs are more
67 ns clustered closely in PCA plots and in HCA dendrograms, indicating small instrument variability com
68                                              Dendrogram is a classical diagram for visualizing binary
69                              The constructed dendrogram is cut in a variety of ways to produce a part
70 ations are used to generate neighbor-joining dendrograms, it is no surprise that all modern European
71  independent isolates into valid groups in a dendrogram, (iv) identifies microevolution in infecting
72 o the SCOP fold classification.Ward's method dendrograms led to partitions closest to the SCOP fold c
73                          A global SERS-based dendrogram model for MRSA and MSSA identification and di
74 d H. haemolyticus strains separated within a dendrogram obtained by multilocus sequence analysis (MLS
75    Hierarchical clustering yields a complete dendrogram of cluster structures but provides only limit
76                                            A dendrogram of fifteen new and six previously isolated se
77 th each image to produce a visual similarity dendrogram of identified species.
78                                         In a dendrogram of NOMT genes, those from low-sakuranetin-acc
79                                        But a dendrogram of such a simulation shows that nearly all th
80                           A neighbor-joining dendrogram of the DNA sequences of both sets of hisJ amp
81                                  The PCA and dendrograms of the perturbed clustering reveal that tour
82                                      The SNP dendrograms of the set gene sequences differentiated the
83  analyzed and visualized as a spanning tree, dendrogram or complete graph using different layouts.
84                                              Dendrogram- or tree-cutting strategies fell into four ca
85                               In a composite dendrogram prepared from the results obtained by RAPD an
86 s shared >or=80, 86, and 91% similarities on dendrograms prepared from digitized PFGE, IS100 RFLP ana
87 producible bands were scored for analyses of dendrograms, principal component analysis, genetic diver
88 ng primer generation for variant validation, dendrogram production, genotype imputation from sequence
89   Traditional clustering techniques, such as dendrograms, provide a very poor representation of recen
90                                   DiversiLab dendrogram reports correctly identified all A. fumigatus
91 te the multi-allelic nature of soybean SSRs, dendrograms representing phenetic relationships between
92 ch group's complete phylogeny and microbiota dendrogram reveal significant degrees of phylosymbiosis,
93 n are projected on the sky within one of the dendrogram's self-gravitating 'leaves'.
94  application merges display features such as dendrograms, secondary and tertiary protein structure wi
95                      Hierarchical clustering dendrograms show an aLIC organisation clustering lateral
96           The resultant ordination plots and dendrograms showed correct groupings for these organisms
97 s of thioesterases using Clustal X yielded a dendrogram showing that TE IIs from PKSs and NRPSs are m
98                                The resulting dendrogram shows consistency with the viral taxonomy of
99 mony analysis of the SVR sequences yielded a dendrogram similar to that which was derived by analysis
100 ns by applying the Fowlkes-Mallows index for dendrogram similarity, followed by bootstrap replication
101 f similarity coefficients and the genesis of dendrograms, suggests that while Ct14 is more effective
102                                     The AFLP dendrogram, the largest to date, contained 154 clades; 5
103                                         On a dendrogram these 23 MIP sequences cluster into three gro
104                     Comparing a ligand-based dendrogram to a sequence-based one, we identified GPCRs
105  DendroBLAST for reconstructing phylogenetic dendrograms/trees from protein sequences using BLAST.
106     We developed three relational metabolite dendrograms using molecular properties and putative bioc
107                                 Finally, the dendrogram was analyzed by a sweep-line algorithm and ma
108                              The whole brain dendrogram was compared with that of its main subdivisio
109  essential step in constructing a meaningful dendrogram), we designed a comprehensive strategy that c
110 uation criteria of the Rand index of the HCA dendrograms were calculated.
111 endations, and the results were analyzed and dendrograms were generated using the DiversiLab analysis
112 ew York City by the same typing methods, and dendrograms were generated.
113                                The resultant dendrograms were not entirely concordant, but both metho
114 ed together on a terminal node of the sample dendrogram, whereas the majority of samples with 11q del
115                                 The unrooted dendrogram, which was based on the SOM neural network, s
116   The resulting clusters were displayed with dendrograms, which show the proximity of variables to ea
117 , and 4 major groupings were observed in the dendrogram with a coefficient value of 0.77.
118                                            A dendrogram with other transmembrane protein tyrosine pho

 
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