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Table 2. Candidate Proteins That Were Found Differentially Expressed in the Cytosol Fraction of MelR MCF-7
2002
"... In PAGE 5: ... These differences were not observed when mul- tiple gels of the same sample were compared. Five out of the nine differentially expressed proteins found, were identified, and these are reported in Table2 , with their differential expression values between the two cell lines. Several of these proteins have important cellular functions and their alterations might be directly or indirectly correlated to the development of chemoresistance of MCF-7 toward mephalan.... In PAGE 7: ...isoform was found to be more abundant in the cytosol of MelR MCF7 than in the MCF-7 control ( Table2 ). Recently, MIF was found to be a most interesting factor.... ..."
Table 10. The differential combinations of regulatory sites in three different functional categories. (R gt; 2.0 and support gt; 0.4).
2002
"... In PAGE 16: ...upport values are very less than 0.5. Similarly, some combinations are also differential in other MIPS functional categories. Similarly, Table10 shows another example with three nearly functional categories of transporting genes, i.... ..."
Table 9. The differential combinations of regulatory sites in five different functional categories (R gt; 2.0 and support gt; 0.5).
2002
"... In PAGE 14: ... We further compute the R-value for each combination mined in each functional gene group to observe the dependence of a combination of regulatory sites in different functional categories. As shown in Table9 , we select five functional categories as an example; the five MIPS functional categories are Phosphate Metabolism , Glycolysis and Gluconeogenesis , Cytokinesis , tRNA-Synthetases , and Transport ATPases , to show the differential combinations (R-value exceeding 2.0, at least one support value greater than 0.... ..."
Table 5 Known differentially 2s-uniform power functions xd on F2m.
in Dedication
"... In PAGE 42: ... Table 4 (resp. Table5 ) gives all known values of exponents d (up to cyclotomic equivalence) that xd is s-nonlinear (resp. differentially 2s- uniform).... ..."
Table 2 offers the initial counting sequence for some small values of k and j. Each one corresponds to a known differential equation satisfied by it generating function. In Table 3 we compute the asymptotic number of some of these graphs. We make one simple observation. The {k, k + 2}-regular graphs are isomorphic to the k + 2-regular graphs with loops, by simply adding loops to the vertices of degree k. This gives a family of identities
"... In PAGE 9: ...Initial terms in the counting sequence 1,2 1,0,1,4,18,112,820,6912,66178,708256,8372754,108306280,1521077404 1,3 1, 0, 1, 0, 8, 0, 730, 0, 188790, 0, 102737670, 0, 102172297920,0 1,4 1,0,1,0,3,6,30,1011,38920,1920348,116400186,8580463110,757574641296 2,3 1,0,0,1,10,112,1760,35150,848932,24243520,805036704,30649435140 2,4 1,0,0,1,3,38,730,20670,781578,37885204,2289786624,168879532980 3,4 1,0,0,0,1,26,820,35150,1944530,133948836,11234051976,1127512146540 Table2 : Counting sequences for {i, j}-regular graphs for small values of i and j. 4.... ..."
Table 1. Results of the application of differential evolution to the optimization of the benchmarck functions. SF is the scaling factor, and CP is the crossover probability.
"... In PAGE 6: ... First set of experiments In the first set of experiments, when the value of a parameter generated exceeded the boundaries defined for the function being optimized, the closest boundary value was assigned to the parameter. The results of this set of experiments are summarized in Table1 , 2 and 3. In terms of number of fitness evaluations to find a solution, PMA outper- formed DE in 5 out of 7 of the test set functions, and was superior to PSO in 6 of them.... ..."
Table 1. Data-subset definition as a function of source intensity. The differential flux is given as
"... In PAGE 4: ... The quadratic law used to estimate the spectral parameters is 0E?( + log10ETeV) TeV . Results for each data-subset are given in Table1 . Only statistical errors are quoted in this table.... In PAGE 4: ...ig. 3. F (or E2 d =dE) spectra for the HF, MF, and LF states. Curves represent the flux parameters estimated by the likelihood method over the energy range quoted in Table1 . In- dividual bin intensities are only indicative and have been com- puted in the following manner: the flux values yielded by the fitted shape are corrected by the ratio Nobs Nfit , where Nobs is ob- tained by subtracting ON and OFF data, and N t is the predicted number of events according to this shape.... In PAGE 5: ... On the other hand, the curvature (given by ) is compatible with being constant for the three data-subsets. Fixing = 0:50 yields Emax with smaller errors, as shown in the last column of Table1 . This reinforces a pos- sible correlation between intensity and Emax.... ..."
Table 1. Functional groups of differentially expressed genes
2006
"... In PAGE 2: ... These patterns prevailed in samples taken from 12-month-old mice, although the numbers of inflammatory cells in the portal tracts seemed reduced in comparison with those observed at 3 months (data not shown). About 10% of differentially expressed genes detected by Affymetrix microarrays at both ages 3 and 12 months were associated with the immune/inflammatory response ( Table1 ). In agreement with the immunohistochemistry data, genes typically expressed by monocytes/macrophages [Cd14 and Cd36 (Table 2) and Aif1, Cd68, Csf1r, Ctss, Gbp2, Igtp, Irf7, Mpeg1, and Plk3 (Supplementary Table S3)] were overexpressed mostly at 3 months.... In PAGE 7: ... Oncogenes and tumor suppressors. Gene expression profiling revealed a significant number of oncogenes and tumor suppressors that were differentially expressed (mainly up-regulated) in Mdr2-KO mice at both ages ( Table1 ). The most prominent was the Ras family of proteins: Nras, Rras, and Rras2 (Table 2) and Rhob, Rhoc, Rhod, and Rhoe (Supplementary Table S3).... ..."
Cited by 1
Table 7. Rates of Return and Rate Differentials
"... In PAGE 25: ...24 Thus, the hypothesis will prove true, and accounting profits will be higher in Germany than in the US and UK, only if returns are indeed greater for universal banks than for specialized banks, and if report manipulations, measurement errors, and differential exogenous influences do not eliminate the premium.25 Despite the hypothesized reasons for Germany to evidence higher returns than either the US or the UK, the data in fact show little sustained difference among the three countries ( Table7 ). Figure 2 plots return on (book value of) equity from 1880 to 1913.... ..."
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