45 research outputs found

    Additional file 5: of Representing and querying disease networks using graph databases

    No full text
    Cypher query on the relationships between a) the O15534 protein (PER gene) and b) the P20393 protein (REV/ERBalpha gene) and the core clock genes, (Table 3). (DOCX 77 kb

    Simulation studies generated independently from the three networks in consideration.

    No full text
    <p>Simulation studies generated independently from the three networks in consideration.</p

    Intra cluster correct-prediction for simulated data.

    No full text
    <p>The figure shows the boxplots of the intra cluster correct-prediction (calculated within the same cluster using cross-validation) for the simulated dataset in the case of 0% of noise.</p

    Intra cluster correct-prediction distribution for 10, 50 and 90% perturbation.

    No full text
    <p>The figures show the histograms of the intra cluster correct-prediction (calculated within the same cluster using cross-validation) for the simulated dataset for different levels of noise.</p

    Unique-Network for <i>Fusarium</i> cluster 2,5,6,7,13.

    No full text
    <p>In this figure grey background indicates highly predictive genes (average correct-prediction equal or higher than 0.6). Despite the lack of different conditions in the dataset, as explained in the text, still about a 1/3 of the genes selected are highly predictive.</p

    Flowchart of the steps for the pipeline.

    No full text
    <p>The figure shows the main steps that constitute the pipeline. Each step is properly described in this section.</p

    Study numbers, labels, number of samples and descriptions of the <i>Fusarium</i> microarray dataset.

    No full text
    <p>Study numbers, labels, number of samples and descriptions of the <i>Fusarium</i> microarray dataset.</p

    <i>Big matrix</i> constructed from the datasets generated from the three networks and six randomly generated datasets which represent the noise.

    No full text
    <p>The shaded regions indicate the non-noisy datasets generated from Alarm, Insurance and Child networks (respectively A, I and C in the figure).</p
    corecore