I try to use TOBIAS BINDetect to predict the activated TFs on a continuous timeline. In bindetect_results.xlsx, I obtain the mean_score and and bound numbers for each point. But it's confused me that how to use these scores to filter the activated TF for at each time. How are the mean_score calculated?
Hi,
I try to use TOBIAS BINDetect to predict the activated TFs on a continuous timeline. In bindetect_results.xlsx, I obtain the mean_score and and bound numbers for each point. But it's confused me that how to use these scores to filter the activated TF for at each time. How are the mean_score calculated?
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name | motif_id | cluster | total_tfbs | BT_mean_score | BT_bound | DAY1_mean_score | DAY1_bound | DAY5_mean_score | DAY5_bound -- | -- | -- | -- | -- | -- | -- | -- | -- | -- MA0601.2.Arid3b | MA0601.2 | C_MA0601.1.Arid3b | 3598 | 0.19213 | 20 | 0.19998 | 21 | 0.20374 | 18 MA0704.1.Lhx4 | MA0704.1 | C_MA0075.1.Prrx2 | 6309 | 0.20454 | 44 | 0.21004 | 41 | 0.23967 | 39 MA0853.1.Alx4 | MA0853.1 | C_MA0720.1.Shox2 | 5551 | 0.23647 | 79 | 0.2414 | 73 | 0.27021 | 74