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      "content": "<h2>File descriptions</h2>\r\n<ul>\r\n<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>\r\n<li><strong>data.zip</strong>: a zipped directory of images dataset organized as the following:</li>\r\n<ul>\r\n<li>train: directory containing the training images divided into two classes '0' and '1'</li>\r\n<li>test: directory containing the test images for prediction.<br />Note that the images base name should correspond to the images id in the submission file (ex: 23.tif  --&gt;  23)</li>\r\n</ul>\r\n</ul>\r\n<p>Images are encoded in 3-channels (BGR) 16 bits. For a simple visualization, we could use ImageJ (http://imagej.net) to adjust the contrast. A true signal image should look like the following one:</p>\r\n<p><img src=\"https://storage.googleapis.com/kaggle-media/competitions/inclass/4916/media/signal.png\" alt=\"True signal image in 8 bits\" width=\"481\" height=\"172\" style=\"display: block; margin-left: auto; margin-right: auto;\" /></p>\r\n<h2>Data fields</h2>\r\n<ul>\r\n<li><strong>id </strong>- an anonymous id unique to a signal (the base name of the related image in the test directory)</li>\r\n<li><strong>label </strong>- the label of the signal (0: noise, 1: true signal)</li>\r\n</ul>",
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      "name": "Description",
      "content": "<p>Molecular Combing is a  technique for the direct visualization of stretched DNA at the single molecule level. </p>\r\n<p><img src=\"https://storage.googleapis.com/kaggle-media/competitions/inclass/4916/media/image-yoyo-300x224.jpg\" alt=\"combed DNA\" width=\"300\" height=\"224\" style=\"display: block; margin-left: auto; margin-right: auto;\" /></p>\r\n<p>The combed DNA is hybridized with a combination of fluorescent probes of different colors and sizes, designed to recognize a selected region of interest. As a result, the DNA sequence to be analyzed is labelled with the combination of “dashes and dots”, creating a “Morse Code”, called GMC,  specific to a target gene and its flanking regions. The GMC method allows the detection of balanced rearrangements often missed by other methods and also provides information about the location and the exact number of copies found.  </p>\r\n<p><img src=\"https://storage.googleapis.com/kaggle-media/competitions/inclass/4916/media/RCA2-300x123.jpg\" alt=\"GMC\" width=\"300\" height=\"123\" style=\"display: block; margin-left: auto; margin-right: auto;\" /></p>\r\n<p>Using a dedicated automated fluorescence microscope, a high resolution multi-color images of the whole surface of the coverslip is generated and extracting the few hundred hybridization signals that are of interest for analysis is a challenging computer vision task.</p>\r\n<p>This challenge tackles with an image recognition problem, as a sub-problem of this signal detection task.  Given a set of true signals and false ones, the goal is to design a classifier that would be able to automatically recognize signals from noisy ones.</p>\r\n<p>Download the images data set  and submit your predicted labels.</p>\r\n<h2></h2>",
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      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is the categorization accuracy. </p>\r\n<h2>Submission Format</h2>\r\n<p><strong>For every author in the dataset</strong>, submission files should contain two columns: id of the signal, label of the signal (0/1). </p>\r\n<p>The file should contain a header and have the following format:</p>\r\n<pre>id,class<br /><span style=\"font-size: 14px; line-height: 1.4em;\">0,1<br />1,1<br />2,0<br />3,1<br />4,0<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span></pre>",
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      "name": "rules",
      "content": "\r\n\t<!-- Begin Base Rules -->\r\n    <h3>One account per participant</h3>\r\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\r\n    <h3>No private sharing outside teams</h3>\r\n    <p>\r\n        Privately sharing code or data outside of teams is not permitted.\r\n        It's okay to share code if made available to all participants on the forums.\r\n    </p>\r\n    <h3>Team Mergers</h3>\r\n    <p>Team mergers are not allowed in this competition.</p>\r\n\r\n    <h3>Team Limits</h3>\r\n    <p>There is no maximum team size.</p>\r\n    <h3>Submission Limits</h3>\r\n    <p>You may submit a maximum of 5 entries per day.</p>\r\n    <p>You may select up to 5 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>2/10/2016 8:26 PM UTC</strong></p>\r\n    <p>Merger Deadline: <strong>None</strong></p>\r\n    <p>Entry Deadline: <strong>None</strong></p>\r\n    <p>End Date: <strong>5/27/2016 11:59 PM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n",
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