期刊论文详细信息
Genomics
HomoTarget: A new algorithm for prediction of microRNA targets in Homo sapiens ☆
Gholamreza Bidkhori1  Ali Salehzadeh-Yazdi1  Sadegh Azimzadeh-Jamalkandi1  Mahdi Aliyari Shoorehdeli1  Hamed Ahmadi1  Ali Ahmadi1  Ali Masoudi-Nejad1 
关键词: MicroRNAs target;    Artificial neural network (ANN);    Principal component analysis (PCA);    Human microRNA;   
DOI  :  10.1016/j.ygeno.2012.11.005
学科分类:医学(综合)
来源: Academic Press
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【 摘 要 】

MiRNAsplayanessentialroleinthenetworksofgeneregulationbyinhibitingthetranslationoftargetmRNAs.SeveralcomputationalapproacheshavebeenproposedforthepredictionofmiRNAtarget-genes.Reportsrevealalargefractionofunder-predictedorfalselypredictedtargetgenes.Thus,thereisanimperativeneedtodevelopacomputationalmethodbywhichthetargetmRNAsofexistingmiRNAscanbecorrectlyidentified.Inthisstudy,combinedpatternrecognitionneuralnetwork(PRNN)andprinciplecomponentanalysis(PCA)architecturehasbeenproposedinordertomodelthecomplicatedrelationshipbetweenmiRNAsandtheirtargetmRNAsinhumans.Theresultsofseveraltypesofintelligentclassifiersandourproposedmodelwerecompared,showingthatouralgorithmoutperformedthemwithhighersensitivityandspecificity.UsingtherecentreleaseofthemirBasedatabasetofindpotentialtargetsofmiRNAs,thismodelincorporatedtwelvestructural,thermodynamicandpositionalfeaturesofmiRNA:mRNAbindingsitestoselecttargetcandidates.

【 授权许可】

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