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Output from running FIMO on Digital Genomic Footprints
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创建时间：
2019-02-04
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Average AUC in cross-classification experiments.
Table 6 indicates the average AUC score across ten classifiers where training data from one TF (rows) was used to train a classifier that classified TFBS for another TF (columns).
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The 23 features used in this study.
1.Values of the two sequence motif features were generated by scanning sequence with Position Weight Matrices from ScerTF [43]. 2.p bound or unbound genomic region for a TF in question based on ChIP d
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