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Hello, thank you for providing a great STR detection tool.
I understand that STRling is developed as a tool to detect outlier expansion. I'm wondering if it's appropriate to use this approach for my purpose. I plan to use STRling to uncover STRs and apply a logistic regression model to assess the association between the length of each STR and phenotype.
If it's appropriate, I'm curious about how to interpret each STR length. Currently, I assume that the length can be represented by the value of 40 * [(sum_str_counts) / local_depth]. Is this assumption correct, or would it be more appropriate to use a different output value? In paper, [ log2( (sum_str_counts + 1) / local_depth) ] is used for outlier detection. I wonder which value is more appropriate in the logistic regression with STR track length.
Best regards,
Chanhee
The text was updated successfully, but these errors were encountered:
chanhee22kim
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Comparing STR track length from STRling, which value would be appropriate to use?
Comparing STR length from STRling, which value would be appropriate to use?
Feb 26, 2024
Hello, thank you for providing a great STR detection tool.
I understand that STRling is developed as a tool to detect outlier expansion. I'm wondering if it's appropriate to use this approach for my purpose. I plan to use STRling to uncover STRs and apply a logistic regression model to assess the association between the length of each STR and phenotype.
If it's appropriate, I'm curious about how to interpret each STR length. Currently, I assume that the length can be represented by the value of 40 * [(sum_str_counts) / local_depth]. Is this assumption correct, or would it be more appropriate to use a different output value? In paper, [ log2( (sum_str_counts + 1) / local_depth) ] is used for outlier detection. I wonder which value is more appropriate in the logistic regression with STR track length.
Best regards,
Chanhee
The text was updated successfully, but these errors were encountered: