How young offenders interpret, construct and engage in education from statutory school to post-16 provision

Figure S1. The relationship between maximum PWM score and information content of PWMs. Individual dots represents each PWM generated from the non-redundant PFM JASPAR-CORE database [5] after the filtering procedures specified in the Methods section. There is a strong positive correlation between the information content of the PWM and the maximum possible PWM score that could be generated by that PWM, with an adjusted R 2 value of 0.597. (PDF 25.9KB

Top-20 TF combinations.

<p>First dataset. The twenty TF combinations with the lowest p-value and highest support obtained when using the dataset by Harbison et al. Evidence column shows whether results were yielded when PubMed was queried for evidence in the literature (P), STRING <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0108065#pone.0108065-Franceschini1" target="_blank">[48]</a> yielded a connected graph for the given TFs (S), both conditions (SP) or none (-) were met.</p><p>Top-20 TF combinations.</p

TF combinations.

<p>Second dataset. Some of the TF combinations obtained when using the TFBSs detected by Patser (yeast genome).</p><p>TF combinations.</p

Outline of the CisMiner procedure.

<p>Diagram of the main steps of the CisMiner procedure. Given a set of TFBSs, the process starts by performing a fuzzy hierarchical clustering to obtain a set of closely located TFBSs. The result of this step is a fuzzy transactional database, which will then be mined by a Fuzzy Frequent Itemset Mining algorithm (Fuzzy Frequent-Pattern Tree) to obtain a set of frequent fuzzy itemsets. Finally, a postprocessing takes place in order to handle overlapping TFBSs that appear in each frequent itemset. As a result, a set of putative CRMs, along with their estimated p-value and their fuzzy support, is given.</p

Procedure for generating the fuzzy transactional database.

<p>(1) Each circle represents a binding site. Each binding site is labeled with the name of the TF which binds that BS. (2) Three clusters are obtained. Centroids are calculated for each cluster. (3) Fuzzy sets are defined for each cluster. (4) Fuzzy transactions are generated from the fuzzy sets. The value after the colon indicates the membership degree of the corresponding TF to the transaction.</p

Fuzzy-crisp comparison.

<p>The four first rows show the mean values of fuzzy/crisp support and <i>p</i>-value of the combinations respectively. The last two rows show the statistical significance returned by the ANOVA procedure.</p><p>Fuzzy-crisp comparison.</p

Post-processing of the results.

<p>The value indicates the membership degree of each binding site to its corresponding transaction. (a) Pairs of overlapping binding sites are directly removed. (b) The optimum way of fitting itemset {A, B, C} is found.</p

Comparison of Patser and Consite.

<p>Number of TFBSs from the dataset by Harbison et al. against the total number of TFBSs detected by Patser and Consite.</p

Parameter values.

<p>Second dataset. Summary of the input parameters used.</p><p>Parameter values.</p

Twelve-month prevalence of any disorder, any mood and anxiety disorders according to socio-demographic variables (adjusted Odds Ratios^& and 95% Confidence Interval. (CI)

<p>^<b>&</b><b>Adjusted OR:</b> all sociodemographic variables are included in the model</p><p>† Family income is defined as a four-category income scale calculated as the ratio of family income in the past 12 months divided by the median income for Spain. Low income is defined as less than or equal to 0.5, low average as 0.5 to 1.0, high average as 1.0 to 2.0, and high as over 2.0.</p><p>^<b>#</b> Completed years of education (four categories: None or primary: 0–7 years; Basic: 8–11 years; Secondary: 12–15 years and College: 16 or more years of education)</p><p>^& 12-month ECS (12-month Economic Crisis Score) as the sum of the score of the three events suffered during the last 12 months. Range value from 0 to 3.</p><p>Twelve-month prevalence of any disorder, any mood and anxiety disorders according to socio-demographic variables (adjusted Odds Ratios<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137293#t005fn001" target="_blank">^&</a> and 95% Confidence Interval. (CI)</p