Some remarks on predicting multi-label attributes in molecular biosystems
Molecular BioSystems, ISSN: 1742-2051, Vol: 9, Issue: 6, Page: 1092-1100
2013
- 401Citations
- 39Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations401
- Citation Indexes401
- 401
- CrossRef353
- Captures39
- Readers39
- 39
Review Description
Many molecular biosystems and biomedical systems belong to the multi-label systems in which each of their constituent molecules possesses one or more than one function or feature, and hence needs one or more than one label to indicate its attribute(s). With the avalanche of biological sequences generated in the post genomic age, it is highly desirable to develop computational methods to timely and reliably identify their various kinds of attributes. Compared with the single-label systems, the multi-label systems are much more complicated and difficult to deal with. The current mini review focuses on the recent progresses in this area from both conceptual aspects and detailed mathematical formulations. © 2013 The Royal Society of Chemistry.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84877758233&origin=inward; http://dx.doi.org/10.1039/c3mb25555g; http://www.ncbi.nlm.nih.gov/pubmed/23536215; https://xlink.rsc.org/?DOI=c3mb25555g; https://dx.doi.org/10.1039/c3mb25555g; https://pubs.rsc.org/en/content/articlelanding/2013/mb/c3mb25555g
Royal Society of Chemistry (RSC)
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