Figure S5. Correlation of λ rank obtained by using different top score thresholds in Eq. 6. We compare the λ rank for different TFs in each group of organisms (subfigure A, B for S. cerevisiae, C and D for D. melanogaster, E and F for vertebrate PWM motifs) by adopting a different top score threshold of top 0.01 % or 0.001 % instead of the default value of 0.1 % in Eq. 6. The adjusted R 2 for the λ rank correlation between 0.1 % and 0.01 % thresholds for S. cerevisiae, D. melanogaster, and vertebrate motifs are 0.94, 0.89 and 0.80, respectively, with p-values all less than 10−8. As for the λrank correlation between 0.1 % and 0.001 % thresholds, the adjusted R 2 are 0.87, 0.92 and 0.74, respectively (p-values all less than 10−6). (PDF 33.2KB
Position-specific scoring matrices (PSSMs) are routinely used to predict transcription factor (TF)-b...
Om sequences (green) and matrix-random sequences (blue) for the M00671 matrix representing the TFBS ...
Abstract Background Transcription factor binding site (TFBS) prediction is a difficult problem, whic...
Figure S3. Estimated Îť distribution in relation to PWM motif length. Each color coded point represe...
Figure S6. Comparison of unique k-mer number passing 0.1 % top PWM score threshold in genomic backgr...
Figure S4. Comparison of Îť values calculated by using different pseudo-count values in PWMs. Subfig...
Figure S1. The relationship between maximum PWM score and information content of PWMs. Individual do...
Abstract Background Scoring DNA sequences against Pos...
Figure S2. Estimated λdistribution across major TF families. BBA-ZF represents the λdistribution for...
Figure S7. Heatmaps for λ conversion between different PWMs. These are additional examples of heatma...
In biological sequence research, the positional weight matrix (PWM) is often used to search for puta...
Table S1. Consensus sequence and gene rank correlation with case-control pairs using different metho...
Background: Positional weight matrix (PWM) is a de facto standard model to describe transcription f...
In biological sequence research, the positional weight matrix (PWM) is often used to search for puta...
The completed BASE 2.0 results of each motif, defining the TF binding affinities as motif frequencie...
Position-specific scoring matrices (PSSMs) are routinely used to predict transcription factor (TF)-b...
Om sequences (green) and matrix-random sequences (blue) for the M00671 matrix representing the TFBS ...
Abstract Background Transcription factor binding site (TFBS) prediction is a difficult problem, whic...
Figure S3. Estimated Îť distribution in relation to PWM motif length. Each color coded point represe...
Figure S6. Comparison of unique k-mer number passing 0.1 % top PWM score threshold in genomic backgr...
Figure S4. Comparison of Îť values calculated by using different pseudo-count values in PWMs. Subfig...
Figure S1. The relationship between maximum PWM score and information content of PWMs. Individual do...
Abstract Background Scoring DNA sequences against Pos...
Figure S2. Estimated λdistribution across major TF families. BBA-ZF represents the λdistribution for...
Figure S7. Heatmaps for λ conversion between different PWMs. These are additional examples of heatma...
In biological sequence research, the positional weight matrix (PWM) is often used to search for puta...
Table S1. Consensus sequence and gene rank correlation with case-control pairs using different metho...
Background: Positional weight matrix (PWM) is a de facto standard model to describe transcription f...
In biological sequence research, the positional weight matrix (PWM) is often used to search for puta...
The completed BASE 2.0 results of each motif, defining the TF binding affinities as motif frequencie...
Position-specific scoring matrices (PSSMs) are routinely used to predict transcription factor (TF)-b...
Om sequences (green) and matrix-random sequences (blue) for the M00671 matrix representing the TFBS ...
Abstract Background Transcription factor binding site (TFBS) prediction is a difficult problem, whic...