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  • Supatcha Lertampaiporn, Chinae Thammarongtham, Chakarida Nukoolkit, Boonserm Kaewkamnerdpong, Marasri Ruengjitchatchawalya
  • Biology, Medicine
  • Nucleic acids research
  • 2013 (First Publication: 24 September 2012)
  • An ensemble classifier approach for microRNA precursor (pre-miRNA) classification was proposed based upon combining a set of heterogeneous algorithms including support vector machine (SVM), k-nearestContinue Reading
  • Supatcha Lertampaiporn, Chinae Thammarongtham, Chakarida Nukoolkit, Boonserm Kaewkamnerdpong, Marasri Ruengjitchatchawalya
  • Biology, Medicine
  • Nucleic acids research
  • 2014 (First Publication: 25 April 2014)
  • To identify non-coding RNA (ncRNA) signals within genomic regions, a classification tool was developed based on a hybrid random forest (RF) with a logistic regression model to efficientlyContinue Reading
  • Sirapop Nuannimnoi, Supatcha Lertampaiporn, Chinae Thammarongtham
  • Computer Science
  • 21st International Computer Science and…
  • 2017 (First Publication: 1 November 2017)
  • This paper proposes an improved prediction of protein subcellular localization in eukaryotes based on multiple classifiers' prediction results. A modified Particle Swarm Optimization was used toContinue Reading
  • Songtham Anuntakarun, Warin Wattanapornprom, Supatcha Lertampaiporn
  • Computer Science
  • 23rd International Computer Science and…
  • 2019 (First Publication: 1 October 2019)
  • 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 sequencesContinue Reading
  • Supatcha Lertampaiporn, Sirapop Nuannimnoi, Tayvich Vorapreeda, Nipa Chokesajjawatee, Wonnop Visessanguan, Chinae Thammarongtham
  • Biology, Medicine
  • BioMed research international
  • 2019 (First Publication: 19 November 2019)
  • Several computational approaches for predicting subcellular localization have been developed and proposed. These approaches provide diverse performance because of their different combinations ofContinue Reading
  • Songtham Anuntakarun, Supawadee Ingsriswang, Warin Wattanapornprom, Supatcha Lertampaiporn
  • Computer Science
  • 7th International Conference on Intelligent…
  • 2016
  • This article presents a new viral precursor miRNAs identification tool using back-propagation neural network. The tool mainly discriminates the viral precursor miRNAs from coding sequences and otherContinue Reading