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گت بلاگز Internet MIANN models of networks of biochemical reactions, ecosystems, and U.S. Supreme Court with Balaban-Markov indices / دانلود فایل

مشخصات کلی MIANN models of networks of biochemical reactions, ecosystems, and U.S. Supreme Court with Balaban-Markov indices

نویسنده کتاب (Author):

Duardo-Sánchez, Aliuska; González-Díaz, Humberto; Pazos, A.

انتشارات (Publisher):

Bentham Science 2015

ویرایش و نوع فایل (Edition/Format):

 Downloadable article : English

منبع (Database):

WorldCat

عنوان ژورنال (Publication):

duardo-sanchez-a-gonzalez-diaz-h-pazos-a-miann-models-of-networks-of-biochemical-reactions-ecosystems-and-u-s-supreme-court-with-balaban-markov-indices-curr-bioinform-201510

موضوع (Subject):

Artificial neural networks       Markov chains       U.S. supreme court       View all subjects      

توضیحات خلاصه (Summary):

[Abstract] We can use Artificial Neural Networks (ANNs) and graph Topological Indices (TIs) to seek structure-property relationship. Balabans’ J index is one of the classic TIs for chemo-informatics studies. We used here Markov chains to generalize the J index and apply it to bioinformatics, systems biology, and social sciences. We seek new ANN models to show the discrimination power of the new indices at node level in three proof-of-concept experiments. First, we calculated more than 1,000,000 values of the new Balaban-Markov centralities Jk(i) and other indices for all nodes in >100 complex networks. In the three experiments, we found new MIANN models with >80% of Specificity (Sp) and Sensitivity (Sn) in train and validation series for Metabolic Reactions of Networks (MRNs) for 42 organisms (bacteria, yeast, nematode and plants), 73 Biological Interaction Webs or Networks (BINs), and 43 sub-networks of U.S. Supreme court citations in different decades from 1791 to 2005. This work may open a new route for the application of TIs to unravel hidden structure-property relationships in complex bio-molecular, ecological, and social networks.  Read more…

ژانر / فرم:info:eu-repo/semantics/article

موضوع:Internet resource

نوع منبع:Internet Resource, Article

تمام نویسندگان / همکاران: Duardo-Sánchez, Aliuska; González-Díaz, Humberto; Pazos, A.

شناسه OCLC:979265405

Language Note:English

فهرست محتوا:1574-8936 http://hdl.handle.net/2183/17645

نویسنده : getblogs