greenelab/adage-server

<div class="page-header">
  <h3>ADAGE: Home</h3>
  The ADAGE web server allows users to analyze signatures from certain types
  of unsupervised machine learning models. If you use the ADAGE server,
  please cite:
  <br>
  Tan J, Huyck M, Hu D, Zelaya RA, Hogan DA, Greene CS.
  <strong>
    <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1905-4">
      ADAGE signature analysis: differential expression analysis with
      data-defined gene sets
    </a>
  </strong>
  <em>BMC Bioinformatics.</em> 2017.
  <br>
  Please also cite the relevant paper for the model that you use, which is shown
  after a model is selected.
</div>

<p class="lead">
  Step 1: Choose a machine learning model
</p>

<ml-model-selector selected-ml-model="ctrl.modelInfo"
                   on-change="ctrl.changeModel(value)">
</ml-model-selector>

<div ng-show="ctrl.modelInfo.title">
  <div ng-bind-html="ctrl.modelInfo.desc">
  </div>
  <hr>

  <p class="lead">
    Step 2: Now that the model is set, you have three options:
  </p>
  <ul>
    <li>
      <a ui-sref="analyze({mlmodel: modelInfo.id})">
        Explore assays and experiments
      </a>
    </li>

    <li>
      <a ui-sref="gene_search({mlmodel: modelInfo.id})">
        Explore genes' model similarities
      </a>
    </li>

    <li>
      <a ui-sref="signature_search({mlmodel: modelInfo.id})">
        Explore model signatures
      </a>
    </li>
  </ul>
</div>