Application of Random Forest in Limited Size Human Long Non-coding RNAs Identification with Secondary Structure Features

In this work, preliminary experiments of using diverse machine learning algorithms and testing of multiple relevant features to discriminate between human lncRNAs and coding/partial coding sequences was performed. This research limited the size of human lncRNAs such that they are shorter than 1000 n...

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Veröffentlicht in:	2019 23rd International Computer Science and Engineering Conference (ICSEC) S. 65 - 69
Hauptverfasser:	Anuntakarun, Songtham, Wattanapornprom, Warin, Lertampaiporn, Supatcha
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2019
Schlagworte:	Accuracy Bioinformatics Machine learning Machine learning algorithms Nearest neighbor methods Prediction methods Random forests RNA Robustness Sensitivity and specificity Shape Testing
Online-Zugang:	Volltext
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