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tutorials/cmapPy_pandasGEXpress_tutorial.ipynb

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"Author: Oana Enache\n",
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"Last updated April 26th, 2017\n",
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"Last updated December 5th, 2017\n",
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"For questions and issue reports, please file an issue at github.com/cmap/cmapPy. \n",
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"Analogously, you might be interested in only parsing in a specific row space; for example, you might be interested at only only examining patterns in expression of [landmark genes](https://clue.io/connectopedia/what_are_landmark_genes). The metadata column identifying landmark membership is `pr_is_lm` (for more details on other metadata header meanings, please see the [GEO User Guide](https://docs.google.com/document/d/1q2gciWRhVCAAnlvF2iRLuJ7whrGP6QjpsCMq1yWz7dU/edit#heading=h.l6bq0r1aih50)). \n",
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"So, we would parse in the gene annotations and obtain a list of only the row identifiers corresponding to landmark genes. **Note that for Entrez ids (as below), you need to specify that the data type annotations are strings (dtype=str argument below); otherwise, the parser currently behaves as if you're subsetting by index** "
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"So, we would parse in the gene annotations and obtain a list of only the row identifiers corresponding to landmark genes. **Note that for Entrez ids (as below), you need to specify that the data type annotations are strings (dtype=str argument below); otherwise, the parser currently behaves as if you're subsetting by index.** "
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