<div><p>The <i>y</i>-axis shows the number of negatives included in a given number (<i>x</i>-axis) of top scoring sequences. Green line (diagonal) represents error rate expected by chance.</p><p>(A) Predictions were made based on percentage identity (PID, purple line), Stubb score (blue), Morph LLR1 score (red), and Morph LLR2 score (black).</p><p>(B) Predictions were based on the total number of binding sites predicted by Stubb (blue) and Morph (black).</p></div
<p>Prediction accuracy on three different classification tasks of CC samples of an SVM classifier us...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
<p>(<i>A</i>,<i>C</i>) The relationship between binding region prediction performance of models usin...
<p>After genome-wide CRM scoring, removing the training CRMs, we evaluated the enrichment of ChIP-se...
<div><p>(A) The gray shading indicates prediction accuracy as a function of SVM score (left <i>y</i>...
<p>The first column lists the possible combination of CTCF binding sites, as already reported (<a hr...
<p>The IFS curves were drawn based on the data in <a href="http://www.plosone.org/article/info:doi/1...
Values given are the Spearman correlation coefficients. Black bars indicate CRM sequences, gray bars...
<p>For three fragments, their structural alphabet profiles (left) and their structure (right) are pl...
<p>The figure presents precision–recall curves of the following methods: prediction of interacting r...
<p>Shown are the prediction performance with TR, C1-4, and IS gene set collections as well as with o...
<p>The figure presents precision–recall curves of the following methods: prediction of interacting r...
<p>A) The probability density of prediction accuracy evaluated separately for CR and Resistant patie...
<p>The figure presents precision–recall curves of the following methods: prediction of interacting r...
<div><p>(A) Sequence effect on false-positive (thick line) and false-negative (thin line) error rate...
<p>Prediction accuracy on three different classification tasks of CC samples of an SVM classifier us...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
<p>(<i>A</i>,<i>C</i>) The relationship between binding region prediction performance of models usin...
<p>After genome-wide CRM scoring, removing the training CRMs, we evaluated the enrichment of ChIP-se...
<div><p>(A) The gray shading indicates prediction accuracy as a function of SVM score (left <i>y</i>...
<p>The first column lists the possible combination of CTCF binding sites, as already reported (<a hr...
<p>The IFS curves were drawn based on the data in <a href="http://www.plosone.org/article/info:doi/1...
Values given are the Spearman correlation coefficients. Black bars indicate CRM sequences, gray bars...
<p>For three fragments, their structural alphabet profiles (left) and their structure (right) are pl...
<p>The figure presents precision–recall curves of the following methods: prediction of interacting r...
<p>Shown are the prediction performance with TR, C1-4, and IS gene set collections as well as with o...
<p>The figure presents precision–recall curves of the following methods: prediction of interacting r...
<p>A) The probability density of prediction accuracy evaluated separately for CR and Resistant patie...
<p>The figure presents precision–recall curves of the following methods: prediction of interacting r...
<div><p>(A) Sequence effect on false-positive (thick line) and false-negative (thin line) error rate...
<p>Prediction accuracy on three different classification tasks of CC samples of an SVM classifier us...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
<p>(<i>A</i>,<i>C</i>) The relationship between binding region prediction performance of models usin...