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MiRank specifications

Information


Unique identifier OMICS_07334
Name MiRank
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Windows
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Maintained Yes

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  • person_outline Weixiong Zhang <>

Publication for MiRank

MiRank in publications

 (4)
PMCID: 5953923
PMID: 29765080
DOI: 10.1038/s41598-018-25578-3

[…] approaches were also tested, e.g. random forest classifier was used in mipred and was also chosen as best performing method in huntmi. a novel markov random walk based method was implemented in mirank, while dekmer is a quantum mechanics inspired method. usually, new tools are developed with the use of enlarged feature sets and new, larger or improved data sets. several studies emphasized […]

PMCID: 3861888
PMID: 24396270
DOI: 10.2174/13892029113149990005

[…] biological research and significantly reduce the cost. here we present currently available tools for mirna identification with the deep sequencing technologies, including mirdeep [], cid-mirna [], mirank [], mircat (identify plant mirnas) [], mirtool [], and miranalyzer []., mirna discovery with deep technologies is generally divided into two steps. the first step is called filtering. […]

PMCID: 3896928
PMID: 23175680
DOI: 10.1093/bib/bbs075

[…] because structures of known mirna are used to train the learning processes to discriminate between true predictions and false positives [, ]. many algorithms, for example, mirscan [], mirseeker [], mirank [], mirdeep [], mirdeep2 [] and miranalyzer [], have been proposed. once predicted, experimental techniques such molecular cloning, sequencing or hybridization are typically used to validate […]

PMCID: 3484136
PMID: 23118959
DOI: 10.1371/journal.pone.0048236

[…] highly conserved motifs in 3′-utrs . (4) machine learning approaches include support vector machine (svm), hidden markov model (hmm) and naïve bayes classifier (nbc), such as triplet-svm , mipred , mirank , cid-mirna , hhmmir , cshmm and maturebayes . however, the first three approaches are poor to identify new mirnas across species lack of homologies. although the machine leaning approaches […]


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MiRank institution(s)
Department of Computer Science and Engineering and Department of Genetics, Washington University, Saint Louis, MO, USA
MiRank funding source(s)
Supported in part by NSF grant IIS-0535257, a grant from the Alzheimer’s Association and a grant from Monsanto Corporation.

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