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1 at can be calculated for any two-dimensional scatter plot.
2  and ordinary least-squares regression (OLS) scatter plot.
3 tifying the lateral edges of the convex data scatter plot.
4  fitted line beyond the observed data in any scatter plot.
5 ut groups of genes can be highlighted on the scatter plots.
6                                    Phenotype scatter-plot analysis and cluster analysis were used for
7 relevant regions of density in the eta-theta scatter plot and then nucleotides in colocalized cluster
8 genes, (iii) correlation coefficients in the scatter plots and (iv) distributions of gene function.
9         Additional information obtained from scatter plots and angular distance maps, showing variati
10 tware also offers graphical features such as scatter plots and bar charts to depict signal repartitio
11 here in a more complete statistical form, as scatter plots and distributions, to reveal the full rang
12                                              Scatter plots and histograms of molecular step sizes ind
13 rameters and pachymetry were evaluated using scatter plots and the Spearman correlation coefficient w
14 inement of these lists using two-dimensional scatter plots, and dissection into cliques of co-regulat
15 atasets using principal coordinate analyses, scatter plots, bar plots, hierarchal clustering and heat
16 04, the root mean square error of 0.02 and a scattered plot between experimental and predicted values
17            A comparison of three-dimensional scatter plots comprised of the detected ions, their rela
18 and in a pixel-based manner using dual-color scatter plots followed by the calculation of Pearson's c
19                             In addition, the scatter plots for radial droplets possess a characterist
20  subtracted, re-scaled, error-barred, and/or scatter-plotted from individual spectral segment centroi
21 and directly manipulated in images, reports, scatter plots, histograms, expression profile plots and
22 limited text), and dendrogram, heat map, and scatter plot images can be saved in several different fo
23                            Signal ratios and scatter plots indicated that the chromosomes were very s
24 a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms,
25                                            A scatter plot of morning versus nighttime flows also supp
26 nds in the data set could be visualized by a scatter plot of the two Gompertz parameters (rate consta
27                                              Scatter plots of C-peptide and quantiles for ln(C-peptid
28                                              Scatter plots of fold increase in current against basal
29 livan and his colleagues were digitized from scatter plots of seven different indicators versus a com
30  Data were compiled from comparable studies, scatter plots of the data were created, and third-order
31 with and without changes in expression, (ii) scatter plots of the genes, (iii) correlation coefficien
32 f proteins is displayed on a two-dimensional scatter-plot, organized according to the order of genes
33  data into two-dimensional row space-derived scatter plots (row space plots) eliminates the need to m
34 dsorbates generate distinct changes in light scattering plots (side versus forward scattering).
35 ata, the software produces three-dimensional scatter plots similar in concept to Sewall Wright and Jo
36 on data sets, we use cyclic-locally weighted scatter plot smoothing (LOWESS) and linear regression no
37                   The UNCLES method, the M-N scatter plots technique, and the expression data synthes
38                          Here we introduce a scatter plot tool (AAScatterPlot) that easily shows the
39                             Alternatively, a Scatter Plot tool displays the correlation coefficients
40 ogy in sets of genes identified using CF and Scatter Plot tools allows inferences to be made about th
41  best-fitting line through a two-dimensional scatter plot typically requires the user to assume that
42                                     However, scatter plots using the Bland and Altman methodology ill
43                      We also propose the M-N scatter plots validation technique and adopt it to set t
44 genes against two user-selected queries on a scatter plot which can be useful for visual identificati
45 ts individual cells in a visual similar to a scatter plot, while using all pairwise distances in high
46 es based on ontology classes, and displays a scatter plot with two proposed new bibliometric statisti

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