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Updated analysis: molecular subtyping LGAT: remove non LGG tumors #995
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I'm assigning myself to this, as I assigned myself to #996 and they are related. |
@jharenza what should I do in this case, where these samples would be included because
Steps to reproducelibrary(tidyverse)
histologies_df <- readr::read_tsv(file.path("data", "pbta-histologies-base.tsv"))
histologies_df %>%
filter(str_detect(str_to_lower(pathology_free_text_diagnosis), "glioneuronal"),
str_detect(str_to_lower(pathology_diagnosis), "ganglioglioma")) %>%
select(Kids_First_Biospecimen_ID,
sample_id,
experimental_strategy,
pathology_diagnosis,
pathology_free_text_diagnosis)
|
For these cases, even though |
So when a sample has |
yes |
What analysis module should be updated and why?
molecular subtyping LGAT - after review of
pathology_free_text_diagnosis
contents with Cassie Kline, it was decided that we should remove a few samples from the LGAT module, as they belong within thebroad_histology
ofneuronal and mixed neuronal-glial tumors
What changes need to be made? Please provide enough detail for another participant to make the update.
Remove the following samples with keywords in
pathology_free_text_diagnosis
from the LGAT subtyping moduleWhat input data should be used? Which data were used in the version being updated?
pbta-histologies.tsv
When do you expect the revised analysis will be completed?
this week
Who will complete the updated analysis?
@kgaonkar6 or @jharenza
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