טוען...
Motif-Based Text Mining of Microbial Metagenome Redundancy Profiling Data for Disease Classification
Background. Text data of 16S rRNA are informative for classifications of microbiota-associated diseases. However, the raw text data need to be systematically processed so that features for classification can be defined/extracted; moreover, the high-dimension feature spaces generated by the text data...
שמור ב:
| הוצא לאור ב: | Biomed Res Int |
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| Main Authors: | , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Hindawi Publishing Corporation
2016
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4769744/ https://ncbi.nlm.nih.gov/pubmed/27057545 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/6598307 |
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