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Journal of Cybersecurity and Information Management
Volume 3 , Issue 1, PP: 05-13 , 2020 | Cite this article as | XML | Html |PDF

Title

Pre-Cursor microRNAs from Different Species classification based on features extracted from the image

  Rabeb Touati 1 * ,   Dr. Imen Ferchichi 2 ,   Dr. Imen Messaoudi 3 ,   Dr.Afef Elloumi Oueslati 4 ,   Dr. Zied Lachiri 5

1  Post-Doctoral position, University of Tunis El Manar, LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis (FMT), Tunisia
    (Rabeb.touati.enit@gmail.com)

2  Post-Doctoral position, University of Tunis El Manar, LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis (FMT), Tunisia
    (imene.ferchichi14@gmail.com)

3  Assiatnt Professor, University of Carthage, Higher Institute of Information Technologies and Communications, Industrial Computing Department, Tunisia
    (imen.messaoudi@enit.rnu.tn)

4  Associate Professor, University of Carthage, National School of Engineers of Cartage, Electrical Engineering Department, Tunisia
    (Afef.Elloumi@enit.utm.tn)

5  Professor, University Tunis El Manar, SITI Laboratory, National School of Engineers of Tunis, Tunisia
    (Zied.lachiri@enit.rnu.tn)


Doi   :   https://doi.org/10.54216/JCIM.030101


Abstract :

The first MicroRNAs was discovered 27 years ago in the nematode C.elegans genomes. MicroRNAs (miRNAs) sequences are small and are expressed in various genomes to affect the translation or the stability of target mRNAs. These short RNA sequences are involved in targeting post-transcriptional gene regulation. The mature miRNAs are derived from longer sequence precursors (pre-miRNAs). Previous works have shown that pre-miRNAs can be classified by their species of origin using bioinformatics techniques combined with machine learning tools. In this study, we focus on the classification of Precursor microRNAs sequences, from 16 different species ranging from animals, plants, and viruses, based on the combination of the features extracted from images corresponding to DNA sequences and machine learning algorithms. As a result, our classification shows that the system based on features correspond to energy images of pre-miRNAs signals using the PNUC coding technique corresponding to the DNA sequence is very efficient in terms of miRNAs inter-genomics recognition

Keywords :

microRNA , Precursor microRNA , Features , scalogram , wavelet-energy , Classification

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Cite this Article as :
Style #
MLA Rabeb Touati, Dr. Imen Ferchichi, Dr. Imen Messaoudi, Dr.Afef Elloumi Oueslati, Dr. Zied Lachiri. "Pre-Cursor microRNAs from Different Species classification based on features extracted from the image." Journal of Cybersecurity and Information Management, Vol. 3, No. 1, 2020 ,PP. 05-13 (Doi   :  https://doi.org/10.54216/JCIM.030101)
APA Rabeb Touati, Dr. Imen Ferchichi, Dr. Imen Messaoudi, Dr.Afef Elloumi Oueslati, Dr. Zied Lachiri. (2020). Pre-Cursor microRNAs from Different Species classification based on features extracted from the image. Journal of Journal of Cybersecurity and Information Management, 3 ( 1 ), 05-13 (Doi   :  https://doi.org/10.54216/JCIM.030101)
Chicago Rabeb Touati, Dr. Imen Ferchichi, Dr. Imen Messaoudi, Dr.Afef Elloumi Oueslati, Dr. Zied Lachiri. "Pre-Cursor microRNAs from Different Species classification based on features extracted from the image." Journal of Journal of Cybersecurity and Information Management, 3 no. 1 (2020): 05-13 (Doi   :  https://doi.org/10.54216/JCIM.030101)
Harvard Rabeb Touati, Dr. Imen Ferchichi, Dr. Imen Messaoudi, Dr.Afef Elloumi Oueslati, Dr. Zied Lachiri. (2020). Pre-Cursor microRNAs from Different Species classification based on features extracted from the image. Journal of Journal of Cybersecurity and Information Management, 3 ( 1 ), 05-13 (Doi   :  https://doi.org/10.54216/JCIM.030101)
Vancouver Rabeb Touati, Dr. Imen Ferchichi, Dr. Imen Messaoudi, Dr.Afef Elloumi Oueslati, Dr. Zied Lachiri. Pre-Cursor microRNAs from Different Species classification based on features extracted from the image. Journal of Journal of Cybersecurity and Information Management, (2020); 3 ( 1 ): 05-13 (Doi   :  https://doi.org/10.54216/JCIM.030101)
IEEE Rabeb Touati, Dr. Imen Ferchichi, Dr. Imen Messaoudi, Dr.Afef Elloumi Oueslati, Dr. Zied Lachiri, Pre-Cursor microRNAs from Different Species classification based on features extracted from the image, Journal of Journal of Cybersecurity and Information Management, Vol. 3 , No. 1 , (2020) : 05-13 (Doi   :  https://doi.org/10.54216/JCIM.030101)