Mercurial > repos > metexplore > met4j
comparison tools/networkAnalysis/MetaboRank/MetaboRank.xml @ 8:1274e2a62479 draft
planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit e34acf0f51cafcf6ae7c97b4feb3188a39f17c32
| author | metexplore |
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| date | Wed, 26 Jul 2023 15:33:45 +0000 |
| parents | 1436e9cde9c9 |
| children | 0976a6257300 |
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| 7:1436e9cde9c9 | 8:1274e2a62479 |
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| 57 </tests> | 57 </tests> |
| 58 <help><![CDATA[Compute the MetaboRank, a custom personalized PageRank for metabolic network. | 58 <help><![CDATA[Compute the MetaboRank, a custom personalized PageRank for metabolic network. |
| 59 The MetaboRank takes a metabolic network and a list of compounds of interest, and provide a score of relevance for all of the other compounds in the network. | 59 The MetaboRank takes a metabolic network and a list of compounds of interest, and provide a score of relevance for all of the other compounds in the network. |
| 60 The MetaboRank can, from metabolomics results, be used to fuel a recommender system highlighting interesting compounds to investigate, retrieve missing identification and drive literature mining. | 60 The MetaboRank can, from metabolomics results, be used to fuel a recommender system highlighting interesting compounds to investigate, retrieve missing identification and drive literature mining. |
| 61 It is a two dimensional centrality computed from personalized PageRank and CheiRank, with special transition probability and normalization to handle the specificities of metabolic networks. | 61 It is a two dimensional centrality computed from personalized PageRank and CheiRank, with special transition probability and normalization to handle the specificities of metabolic networks. |
| 62 For convenience, a one dimensional centrality rank is also computed from the highest rank from PageRank or CheiRank, and using lowest rank as tie-breaker. | |
| 62 See publication for more information: Frainay et al. MetaboRank: network-based recommendation system to interpret and enrich metabolomics results, Bioinformatics (35-2), https://doi.org/10.1093/bioinformatics/bty577]]></help> | 63 See publication for more information: Frainay et al. MetaboRank: network-based recommendation system to interpret and enrich metabolomics results, Bioinformatics (35-2), https://doi.org/10.1093/bioinformatics/bty577]]></help> |
| 63 <citations/> | 64 <citations/> |
| 64 </tool> | 65 </tool> |