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Modified the MA plot task slightly
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bio-visualization-lab.ipynb

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@@ -127,8 +127,10 @@
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"metadata": {},
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"source": [
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"There are many different methods of computing the average expression level(A) between the two observations and\n",
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"the mean variation(M). To keep things simple, for this example we will just compare the sum on the x-axis vs the minus on the y-axis.\n",
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"Our data is already normalized and preprocessed, so this will be enough to find the clear outliers. \n"
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"the mean variation(M). To keep things simple, for this example we will just compare the mean avg on the x-axis vs the minus on the y-axis.\n",
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"Our data is already normalized and preprocessed, so this will be enough to find the clear outliers. \n",
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"\n",
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"Don't forget to plot on the log scales on both axis."
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{
@@ -142,8 +144,9 @@
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline\n",
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"\n",
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"#A = df_MA['...'] + df_MA['...']\n",
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"#M = df_MA['...'] - df_MA['...']\n",
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"#A = x + y/2\n",
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"#M = x - y\n",
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"\n",
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"\n",
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"#Plot a scatter plot of M vs A"
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]

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