MIDP specifications

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Unique identifier OMICS_27617
Name MIDP
Alternative name miRNAs associated with Diseases Prediction
Interface Web user interface
Restrictions to use None
Computer skills Basic
Maintained No

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Publication for miRNAs associated with Diseases Prediction

MIDP in publications

 (5)
PMCID: 5915491
PMID: 29691434
DOI: 10.1038/s41598-018-24532-7

[…] association among all diseases. no negative samples are needed in this method, and it can be applied to predict isolated diseases and new mirnas., xuan et al. designed a computation model named midp based on random walk algorithm. this algorithm walks in a two-tier network composed of the disease similarity, mirna similarity, and known mirna–disease association. this model can predict […]

PMCID: 5905221
PMID: 29665774
DOI: 10.1186/s12859-018-2146-x

[…] hdmp to predict potential disease-mirna associations based on weighted k most similar neighbours [] and developed a method for predicting potential disease-associated micrornas based on random walk (midp) []. chen et al. proposed a prediction method called rwrmda by implementing random walk on the mirna functional similarity network and further proposed a model called rlsmda based […]

PMCID: 5601672
PMID: 28938576
DOI: 10.18632/oncotarget.17226

[…] with scores that are lower than the given threshold. false positive (fp) denotes the number of unknown associations with scores that are higher than the given threshold., models by xuan et al. [] (midp and midpe, 2015), chen and yan [] (rlsmda, 2014), chen and zhang [] (chen's method, 2013), shi et al [] (shi's method, 2013), xuan et al. [] (hdmp, 2013) and chen et al. [] (rwrmda, 2012) […]

PMCID: 5009308
PMID: 27585796
DOI: 10.1038/srep32533

[…] with a principle that the specific regulation is implemented by small clusters rather than individual or big modules., in order to verify the effectiveness of mfsp comparing with other methods, midp which walks on the mirna similarity network predicts mirna-disease associations on mirna network constructed by different methods (rq = 0.4, ru = 0.1 for midp). we performed experiments using […]

PMCID: 4887905
PMID: 27246786
DOI: 10.1038/srep27036

[…] most of the studies that describe methods for mirna-disease associations present the performances based on a set of well-studied diseases. to our knowledge, the state of the art is represented by midp. in their study, xuan et al. compared their method to 4 other methods and showed that midp is the best performing method. we compared our method to midp for the same set of 15 human diseases […]


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MIDP institution(s)
School of Computer Science and Technology, Heilongjiang University, Harbin, China; School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China; School of Information Science and Technology, Heilongjiang University, Harbin, China; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
MIDP funding source(s)
Supported by the Natural Science Foundation of China (61302139, 61402138), China Postdoctoral Science Foundation (2014M550200, 2014M561350), the Science and Technology Innovation Team Construction Project of Heilongjiang Province College (2013TD012), the Natural Science Foundation of Heilongjiang Province (F201324, E201452), the Postdoctoral Foundation of Heilongjiang Province (LBHZ14152), the Young Innovative Talent Research Foundation of Harbin Science and Technology Bureau (2012RFQXS094), the Support Program for Young Academic Key Teacher of Higher Education of Heilongjiang Province (1254G030), and the Distinguished Youth Foundation of Heilongjiang University (JCL201405).

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