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Using CPTAC dataset about ddmc HOT 10 CLOSED

aarmey avatar aarmey commented on August 17, 2024
Using CPTAC dataset

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aarmey avatar aarmey commented on August 17, 2024

https://cptac-data-portal.georgetown.edu/study-summary/S046

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aarmey avatar aarmey commented on August 17, 2024

@mcreixell have you looked into this? If not I was thinking of doing some exploring about how to start this analysis...

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mcreixell avatar mcreixell commented on August 17, 2024

Yes, I'm currently working on this.

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aarmey avatar aarmey commented on August 17, 2024

Ok great.

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aarmey avatar aarmey commented on August 17, 2024

It looks to me like the data is under the phosphoproteome folders here:

https://cptc-xfer.uis.georgetown.edu/publicData/Phase_III_Data/CPTAC_LUAD_S046/

You then go into the *PSM folder, then *.tsv folder, then all the files inside have the relevant data. Seems like a ton.

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aarmey avatar aarmey commented on August 17, 2024

Hmm... actually, not sure I see the location assignment within the protein. Must be around somewhere, though.

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mcreixell avatar mcreixell commented on August 17, 2024

Yes, the number at the beginning of each file name (1-25) indicates the TMT10-plex experiment. Within each experiment, 8 are tumor-normal pairs, one is an internal reference (tumor or normal only), and the 10th is a pooled reference sample. I think all these files are integrated in the file I sent in my email via google drive.

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aarmey avatar aarmey commented on August 17, 2024

Aha, I see now.

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mcreixell avatar mcreixell commented on August 17, 2024

The model seems to work. It's been running for ~2h and still active. How would you deal with the fact that the dataset contains tumor and healthy peptide signal for each patient? Would you model the entire data set as it is or maybe normalize to healthy?

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aarmey avatar aarmey commented on August 17, 2024

Wonderful! Might try profiling as the slow spots could be different. I'd suggest ignoring the healthy/normal labels for now and looking at them after clustering.

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