6 research outputs found

    Additional file 4: of Comparison of discriminative motif optimization using matrix and DNA shape-based models

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    Table S4. AUPRC and AUROC differences between model pairs by TF. (XLSX 32 kb

    Additional file 3: of Comparison of discriminative motif optimization using matrix and DNA shape-based models

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    Table S3. Scores for the motif optimization algorithms on ChIP-seq data with small training sets. (DOCX 12 kb

    Additional file 1: of Comparison of discriminative motif optimization using matrix and DNA shape-based models

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    Table S1. Mean AUROC (and standard deviation) on ChIP-seq data. (DOCX 13 kb

    Additional file 2: of Comparison of discriminative motif optimization using matrix and DNA shape-based models

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    Table S2. Effect of Method for Generating Negative Sequences on Training and Testing Scores. (DOCX 13 kb

    MOESM2 of Quantitative profiling of BATF family proteins/JUNB/IRF hetero-trimers using Spec-seq

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    Additional file 2. Spec-seq results for BATFx-JUNB. Spec-seq results for BATF-JUNB (sheet1), BATF2-JUNB (sheet2), and BATF3-JUNB (sheet3). Each sheet contains a CRE part and TRE part. Only the single variants from the wild type target (TGACGTCA for CRE and TGAC/GTCA for TRE) were included in the tables. The number of counts in the bound and unbound bands are provided. The ration of bound/unbound are proportional to the relative binding affinities. Energy = −ln(ratio); energy units are kT (k = Boltzmann constant, T in degrees Kelvin)
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