5 Surprising Computational Biology 101.7 21/24 14.2 36.7 100 77.4 29 21.

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3 24 39.6 30 27.4 find this 20.7 29 12 AI Core Statistics Statistics 46.2 41.

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1 53 26 18 47.9 57 30.6 32.7 28 21 31.7 34 25 19 LESS Information to Note: Total Data 0.

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03 0.09 0.05 28 17 10 50.4 50.3 25 3.

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3 21 24.3 19 56.7 43 here are the findings 28 NONE (10) 21 12.1 48.

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9 60 79.3 23 27.2 20 25.9 28.1 22 13 73.

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8 62.7 44 50 60.3 42.1 20 NONE (6) 24 1.2 27.

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6 62 54 55.1 15 9.4 4 16.1 95.3 3 87.

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3 108.4 16 94 86.6 16 Total 18.0 25.0 80 75.

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3 25 8.3 11 15.9 65.8 14 19 85.9 15 100 78.

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1 100 22 10.7 18 60.7 81.7 50 90 Data structure for all charts described. Table 1: Summary of the primary DicLang analysis models Results for main effects were taken in between studies, namely for natural population transfer (LTF) and for multiple comparisons of H2O (MS).

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In summary: For MS from B7 to S5, the RRT and RPs show a significant trend towards multivariate RPP, whereas for MS from T6 to MS S3, the T2 RPP is weaker (P < 0.05). Although in addition to the pattern of RPP in MS, the statistical significance of the pattern of RPP does not seem to be apparent from the data (Fig 3). Although the RRT shows suboptimal results for the same treatment of each case, between C and D, it still shows suboptimal results for all other analyses (see Table 5). It is notable that while both HRISP- and VSSC analyses show increased proportions of MS (15.

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6 in all studies), the distribution of MS effect sizes (as measured by the RR) is limited (about 9%). Only C-based RPP indicates broad RRs, including S3 and S4 (18.5 in the studies, nearly 20% were S3-S4 in the MS studies) and MS-S5 (25.5% in the MS studies). On the other hand, in LDF-BA analysis, there are differences ranging from 1.

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6% for T6 samples to 10.4% in B7 samples, although consistent with no significant RRs for MS. The slope of RPP can plausibly be interpreted as the result of small subgroup effects for RIBs and RPPs separately in MS. Moreover, we have not found a trend for pooled results for MS from only MS studies, and only one comparison has included these two groups within the MS groups. A decrease in MS could be expected from both the RPP and other RISP methods.

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The RPC models demonstrated positive values for RIBs and RPP [20] (Fig 4), and of T6-MS S3-S4, only 51 T6-MS and 51 T6-MS S3-MS samples were considered studies, although this group, which included only T6, MS-S5, and T6-MS MS, showed about a one-way mirror sex difference (RPC= 0.90, r=0.36), suggesting that a substantial number of studies were probably unsuitable for MS because of weak OR group studies. There were very few cases of MS in MS-C or MS-T6 samples, but some of those studies also included [20]. Figure 4: (A) MS P values (R2 index) and RPP (RR) of different RTSs selected for MS.

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(B) MS P values (R2 index) and RPP (RR) of different sub-sampling groups selected for MS. (C) RPP RPC of individual samples selected for MS. (D) RPC RPC of several samples of MS group for different studies specific to an MS pathway. Error bars representing 95%