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Table 4 Multiple Comparisons for Score, and Proportion of dominant variants.

From: An RNAi in silico approach to find an optimal shRNA cocktail against HIV-1

MSA 2299 Resistant Isolates w1 2299 Resistant Isolates w2 AZT-3TC-ABC D4T-3TC-NVP GENOME DNA All Subtype GENOME DNA GroupM plus Recombinants GENOME DNA No Recombinants POL DNA All Subtypes POL DNA GroupM plus Recombinants Pol DNA No recombinants ZDV-3TC-EFV w1 ZDV-3TC-EFV w2 ZDV-3TC-EFV w3
Assigned letter group (A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M)
Mean a Score    A B K L A B K L A B C D K L M A B C D K L M A B C D K L M A B C D K L M A B C D K L M A B C D K L M A B L   A B K L
b 0    K K K K K K K K   K A B E F G H I J K L
b 1 M M    M M M M M M C D E F G H I J L M M  
  1. a. Weighted average of the score was used for multiple comparisons between de MSAs
  2. b. In the comparisons of the proportion of dominant variants, number 1 represents the dominant viral variants while number 0 represents the rest of viral variants (subdominant and infrequent).
  3. For weighted average score, a multiple comparison Student t-test was used to evaluate mean equality between each pair of groups. The MSA was assigned as the segmenting categorical variable and the score was the continuous variable for which the mean was calculated. For the comparison between pairs of proportions of dominant variants, a Z-test was used. The MSA was assigned as the segmenting categorical variable, and the proportion was assigned the categorical variable that revealed the presence or absence of the event of interest. In the second and third rows appear the corresponding letters of the groups that showed significant differences with the MSA of the column. In both cases p values were corrected with Bonferroni-Dunn test with an alpha of 0.05. See Methods, for further understanding on how weighted average scores were calculated.