Closed komalsrathi closed 3 months ago
@mkoptyra No, If I recall correctly, this was also brought up in our last meeting by @jharenza where she pointed out that coloring by molecular subtype (plot generated by @zzgeng) or tumor location is not going to make any difference to the p-value. I think you said you wanted to just look at the differences visually and keep the plot as is.
The difference or the p-value is calculated based on the boxes - not the colors.
If you want the differences between the tumor location, we can create facets by tumor location i.e. for each Tumor location, we will create a comparison between Telomere content vs Age.
Could we use some regression tests?
HOPE_Tumor.Location.condensed
HOPE_Tumor.Location.condensed
> glm_out <- glm(data = plot_df, formula = t_n_telomere_content ~ age_two_groups + HOPE_Tumor.Location.condensed)
> glm_out <- broom::tidy(glm_out)
> glm_out
# A tibble: 5 × 5
term estimate std.error statistic p.value
<chr> <dbl> <dbl> <dbl> <dbl>
1 (Intercept) 1.62 0.950 1.70 0.0935
2 age_two_groups[0,15] -0.551 0.392 -1.41 0.164
3 HOPE_Tumor.Location.condensedCortical 0.327 0.926 0.354 0.725
4 HOPE_Tumor.Location.condensedMidline 0.210 0.949 0.221 0.825
5 HOPE_Tumor.Location.condensedOther/Multiple locations/NOS 0.0000681 0.942 0.0000722 1.00
cc: @jharenza any suggestions on the regression test? I am confused about the question/goal. The boxplot that I had before (see below) showed difference between Two Age groups vs Telomere content - the p-value has nothing to do with the HOPE_Tumor.Location.condensed
except the colors.
@mkoptyra any updates on this? if not then maybe we should close it.
Closing as no updates on this.
For the Telomere content vs two age groups colored by Tumor_location: https://github.com/d3b-center/hope-cohort-analysis/blob/rerun-analyses/analyses/alt-analysis/results/telomere_content_vs_age_two_groups_by_tumor_loc.pdf
Is the p value adjusted with the tumor location? The reason for that question is the fact that midline tumors are mostly in the 0-15 age group so it may bias the ALT telomere content difference
Originally posted by @mkoptyra in https://github.com/d3b-center/hope-cohort-analysis/issues/77#issuecomment-1870523272