Improved notebook formatting
Browse files- demo/HF_TCM+P3GPT_sceening.ipynb +12 -147
demo/HF_TCM+P3GPT_sceening.ipynb
CHANGED
@@ -200,106 +200,7 @@
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>skin </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 251\n",
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"
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"[BOS]<age_group2diff2age_group><tissue>muscle </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>muscle </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 260\n",
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"Running generations for muscle-proteomics\n",
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"[BOS]<age_group2diff2age_group><tissue>muscle </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>muscle </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 259\n",
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"Running generations for muscle-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>muscle </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>muscle </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 259\n",
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"Running generations for whole blood-methylation\n",
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"[BOS]<age_group2diff2age_group><tissue>whole blood </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>whole blood </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 259\n",
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"Running generations for whole blood-proteomics\n",
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"[BOS]<age_group2diff2age_group><tissue>whole blood </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>whole blood </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 120\n",
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"Running generations for whole blood-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>whole blood </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>whole blood </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 13\n",
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"Running generations for epithelium-methylation\n",
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"[BOS]<age_group2diff2age_group><tissue>epithelium </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>epithelium </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 120\n",
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"Running generations for epithelium-proteomics\n",
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"[BOS]<age_group2diff2age_group><tissue>epithelium </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>epithelium </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 11\n",
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"Running generations for epithelium-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>epithelium </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>epithelium </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 11\n",
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"Running generations for artery-methylation\n",
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"[BOS]<age_group2diff2age_group><tissue>artery </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>artery </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 13\n",
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"Running generations for artery-proteomics\n",
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"[BOS]<age_group2diff2age_group><tissue>artery </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>artery </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 261\n",
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"Running generations for artery-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>artery </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>artery </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 261\n",
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"Running generations for fat tissue-methylation\n",
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"[BOS]<age_group2diff2age_group><tissue>fat tissue </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>fat tissue </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 261\n",
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"Running generations for fat tissue-proteomics\n",
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"[BOS]<age_group2diff2age_group><tissue>fat tissue </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>fat tissue </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 259\n",
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"Running generations for fat tissue-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>fat tissue </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>fat tissue </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 260\n",
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"Running generations for brain-methylation\n",
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"[BOS]<age_group2diff2age_group><tissue>brain </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>brain </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 261\n",
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"Running generations for brain-proteomics\n",
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"[BOS]<age_group2diff2age_group><tissue>brain </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>brain </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 260\n",
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"Running generations for brain-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>brain </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>brain </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 260\n",
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"Running generations for liver-methylation\n",
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"[BOS]<age_group2diff2age_group><tissue>liver </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>liver </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>methylation </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 125\n",
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"Running generations for liver-proteomics\n",
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"[BOS]<age_group2diff2age_group><tissue>liver </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>liver </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>proteomics </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 261\n",
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"Running generations for liver-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>liver </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"text/plain": [
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"(5281792,\n",
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" {'title': 'rosmarinic-acid',\n",
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" 'predicted_targets': {'symbols': ['IFNG', 'PTGS1', 'PTGS2', 'TPMT'],\n",
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},
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"execution_count": 10,
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"This is token index where gene should be predicted: 1\n",
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"[BOS]<age_group2diff2age_group><tissue>skin </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species>\n",
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"This is token index where gene should be predicted: 251\n",
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"Running generations for liver-expression\n",
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"[BOS]<age_group2diff2age_group><tissue>liver </tissue><cell></cell><efo></efo><datatype></datatype><drug></drug><dose></dose><time></time><case>70.0-80.0 </case><control>19.95-25.0 </control><dataset_type>expression </dataset_type><gender></gender><species>human </species><up>\n",
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"This is token index where gene should be predicted: 1\n",
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"text/plain": [
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"(5281792,\n",
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" {'title': 'rosmarinic-acid',\n",
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+
" 'known_targets': {'symbols': ['C5', 'CCR3', 'CCL2', 'PREP', 'NFKB1',\n",
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" 'IKBKB', 'CASP3', 'C3', 'OLIG2', 'CCL11', \n",
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" 'CD86', 'AURKA', 'IL2', 'F2', 'IDO1',\n",
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" 'IL4', 'RPS6KB1','ABAT', 'CCL3','STAT1',\n",
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" 'CD80', 'IL5', 'IL6'],\n",
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+
" 'entrez_ids': [18, 3565, 4790, 836, 3551,\n",
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+
" 3620, 6772, 718, 2147, 3558,\n",
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+
" 3569, 6347, 6356, 727, 6790,\n",
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+
" 3567, 942, 6348, 10215, 6198,\n",
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" 5550, 1232, 941]},\n",
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" 'predicted_targets': {'symbols': ['IFNG', 'PTGS1', 'PTGS2', 'TPMT'],\n",
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+
" 'entrez_ids': [3458, 5742, 5743, 7172]}})"
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]
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},
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"execution_count": 10,
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