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<scheme description="Load data and a list of marker genes from our database. Select marker genes of choice. Score cells according to the expression of selected markers, and reveal marker-specific cells in the t-SNE cell landscape. Simultaneously open both Data Table (marker selection) and t-SNE visualization to turn scOrange into an interactive gene marker browser." title="Markers and subpopulations" version="2.0">
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		<node id="0" name="Score Cells" position="(357.0, 205.0)" project_name="Orange3-SingleCell" qualified_name="orangecontrib.single_cell.widgets.owscorecells.OWScoreCells" title="Score Cells" version="" />
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		<text font-family="Helvetica" font-size="14" id="1" rect="(52.0, 17.0, 150.0, 124.0)" type="text/plain">Load the data on bone marrow mononuclear cells with AML (Zheng et. al. 2017). Data come pre-normalized and contains a variety of cell types.</text>
		<text font-family="Helvetica" font-size="14" id="2" rect="(162.0, 360.0, 150.0, 96.0)" type="text/html">Open &lt;i&gt;Marker Genes&lt;/i&gt; widget (double click) and select one or more marker genes (rows).

For example, select NK47 and/or GNLY to find Natural Killer cells.</text>
		<text font-family="Helvetica" font-size="20" id="3" rect="(133.0, 360.0, 150.0, 32.0)" type="text/plain">(2)</text>
		<text font-family="Helvetica" font-size="20" id="4" rect="(381.0, 44.0, 150.0, 32.0)" type="text/plain">(3)</text>
		<text font-family="Helvetica" font-size="20" id="5" rect="(331.0, 299.0, 150.0, 52.0)" type="text/plain">(4)</text>
		<text font-family="Helvetica" font-size="14" id="6" rect="(410.0, 43.0, 168.0, 140.0)" type="text/html">Visualize the cell landscape in the &lt;i&gt;t-SNE&lt;/i&gt; plot. Notice distinct clusters of cells! Set color and size to highlight cells with expressed marker genes.</text>
		<text font-family="Helvetica" font-size="14" id="7" rect="(361.0, 298.0, 167.0, 87.0)" type="text/html">Keep both &lt;i&gt;Marker Genes&lt;/i&gt; and &lt;i&gt;t-SNE&lt;/i&gt; widgets open to interactively select the marker genes and see changes in t-SNE plot.</text>
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