Prediction results of different feature encodings on sORFs datasets.
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posted on 2025-04-28, 17:33 authored by Hongqi Feng, Qi Nie, Sen YangPrediction results of different feature encodings on sORFs datasets.
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regulate gene expressionmatthew correlation coefficientexperimentally validated datasetensemble learning strategyenhancing rich sequencevarious computational methodstraining characterization informationmining feature informationunlike common peptideslogistic regression modelthroughput computational methodcurated traditional encodingsorfpp uses catboostidentify seps based2 %- 24contributive traditional featurestraditional encodingcomputational methodcontributive featuresdriven informationencoded peptidesattention modelxlink ">two modelssparsity problemsorfpp outperformssignificant rolesrobust predictionspredict sepsmultiple perspectiveslong nonlncrnas ).including qsorderfused frameworkenabled useffective modelscoding rnasart models5000 /2 pre
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