HomoTarget: A new algorithm for prediction of microRNA targets in Homo sapiens ☆

Genomics

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

【 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】

Unknown   

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