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Investigate Bortezomib signature in the context of other proteasomal inhibitors #127
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@shntnu and I will meet next week to determine the nature of the analyses (e.g., time commitment, and whether it is straightforward for me to run some of your scripts etc), we will update you. @gwaybio |
@gwaybio – @yhan8 and I are discussing this right now. For both analyses in this issue, we need the Bortezomib and Ixazomib signatures. The Bortezomib signature is calculated here. But it doesn't appear that we create an Ixazomib signature. Can you confirm this? I haven't looked carefully; Yu is reasonably confident that we had it only for Bortezomib but we wanted to double check with you. |
I looked when I put together the Review Plan, and I also couldn't find this. I could have sworn that I had already done this, but I must be hallucinating. |
Here are the IX-related profiles in case we want to do anything further here (more in the Review plan) df <- list.files("~/Downloads/profiling-resistance-mechanisms-master/0.generate-profiles/metadata", full.names = T, recursive = T, pattern ="*.txt") %>% map(function(f) read_tsv(f, show_col_types = FALSE, col_types = cols(.default = "c")))|> list_rbind()
df %>% count(clone_number, treatment) %>% filter(str_detect(clone_number, "Ixa") | str_detect(treatment, "Ixa")) %>% knitr::kable()
df %>% count(plate_map_name, clone_number, treatment) %>% filter(str_detect(clone_number, "Ixa") | str_detect(treatment, "Ixa")) %>% knitr::kable()
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We've received some insightful feedback from reviewers on our paper. Here, we will address two major comments:
Next steps: @yhan8 will outline the analysis that's needed, seeking inputs from @gwaybio and @shntnu as needed, and then perform the analysis.
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