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"Synapsin647",
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]
},
{
"line": {
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"name": "cluster 1",
"type": "scatter",
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},
{
"line": {
"color": "rgb(0, 204, 170)",
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},
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"name": "cluster 2",
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"NR1594",
"PSD95_488",
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]
}
],
"layout": {
"title": "Collman15v2 Mean Intensity HGMM Cluster Means, Level 2",
"xaxis": {
"mirror": true,
"showticklabels": false,
"title": "Mean Values"
},
"yaxis": {
"mirror": true,
"showticklabels": true,
"title": "Dimensions"
}
}
},
"text/html": [
""
],
"text/vnd.plotly.v1+html": [
""
]
},
"metadata": {},
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}
],
"source": [
"#You can also make all plots at once.\n",
"meda.run_all()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(12, 236)\n",
"Report saved at ./2018-03-14_Collman15v2 Mean Intensity.html\n"
]
}
],
"source": [
"#Generate a static HTML report\n",
"out_dir = './'\n",
"meda.generate_report(out_dir)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "pymeda",
"language": "python",
"name": "pymeda"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
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