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. 2015 Jun 24;3:28. doi: 10.3389/fcell.2015.00028

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Copyright © 2015 Moni and Liò.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Overview framework of POGO software. (1) POGO takes as input preliminary diagnosis data of a patient and check the validation of the input. (2) It preprocesses and updates required databases, performs statistical computation (hypergeometric and semantic similarity tests), and calculates relative risk between diseases. (3) Comorbidity scores and disease network are provided as a result to the user. (4) Multiplex model is applied for data integration to produce integrated comorbidity network as (5). (6, 7) Visualization of the comorbidity map and survival probability of patient considering comorbidity. Env is used to indicate environment.