Closed pallavisurana1 closed 1 year ago
Hi @PallaviSurana1,
Are you looking at the HLCA core or the extended HLCA? This is a column we forgot to clean up but that will be corrected in the updated/cleaned up HLCA which should be online soon!
Hi @LisaSikkema
I am looking at the extended HLCA. So should I consider only healthy if I want healthy lung tissues and remove "nan" right?
To be sure, yes. I think they might all be healthy but not sure.
If you tell me which datasets they come from I can tell you if they're healthy or not :)
This is for the condition = "nan" I am interested in
study | Number of cells |
---|---|
Banovich_Kropski_2020 | 96516 |
Barbry_Leroy_2020 | 23988 |
Jain_Misharin_2021 | 0 |
Krasnow_2020 | 0 |
Lafyatis_Rojas_2019 | 10708 |
Meyer_2019 | 21602 |
Misharin_2021 | 27414 |
Misharin_Budinger_2018 | 26912 |
Nawijn_2021 | 0 |
Seibold_2020 | 28364 |
Teichmann_Meyer_2019 | 11667 |
So in Supplementary Table 1 from the bioRxiv you can see which datasets contained which kind of lung conditions https://www.biorxiv.org/content/10.1101/2022.03.10.483747v1.supplementary-material
Banovich_Kropski and Misharin_Budinger contain both healthy and disease (the disease samples might be correctly annotated, you can check). The others are healthy (in the case of Krasnow from tumor-adjacent "healthy" tissue)
Thanks. I will remove those studies and analyze them.
Hi , I am a little unclear as to what 'nan' means in the Condition column of meta.data in the integrated HLCA dataset.
Cells set to "nan" come from donors without lung condition.
Does this mean they are not healthy or healthy?If I want only the healthy cells I could ignore the "nan" or unknowns right?