Hello,
I am trying to obtain two example RNA-seq datasets. One has verified low false positive rate, and the other has verified high false positive rate.
Specifically, I am hoping to obtain 3 things for each dataset:
1) The processed count table (filtered, normalized, and whatever else) that was directly fed into the model that created the DEG list.
2) The DEG list (simply which rows of the count table were designated DEGs)
3) An estimated false positive rate (or similar metric) showing how reliable the DEG list is. Maybe from some golden standard type of procedure. For one dataset, this rate is high. For the other dataset, this rate is low.
If I need the processed count table and DEG list myself that is of course fine too. I am just hoping it is clear and reproducible documentation.
I would be very grateful to hear from anyone who has knowledge even of just one of these datasets too. Thank you for any input!
I am trying to obtain two example RNA-seq datasets. One has verified low false positive rate, and the other has verified high false positive rate.
Specifically, I am hoping to obtain 3 things for each dataset:
1) The processed count table (filtered, normalized, and whatever else) that was directly fed into the model that created the DEG list.
2) The DEG list (simply which rows of the count table were designated DEGs)
3) An estimated false positive rate (or similar metric) showing how reliable the DEG list is. Maybe from some golden standard type of procedure. For one dataset, this rate is high. For the other dataset, this rate is low.
If I need the processed count table and DEG list myself that is of course fine too. I am just hoping it is clear and reproducible documentation.
I would be very grateful to hear from anyone who has knowledge even of just one of these datasets too. Thank you for any input!
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