A NOVEL APPROACH FOR miRNA TARGET PREDICTION USING DEEP LEARNING

被引：0

作者：

Paulson, Shaina ^{[1
]}

Jyothis, T. S. ^{[1
]}

机构：

[1] Jyothi Engn Coll Thrissur, Dept Comp Sci & Engn, Trichur, India

来源：

PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT) | 2018年

关键词：

miRNA; miRNA prediction; machine learning;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a novel approach for miRNA target prediction using deep learning. Deep learning is branch of machine learning and it can apply in various areas not just related to computer science. The mix of machine learning and Bioinformatics is a striking one. This paper talks about another miRNA target prediction through deep learning. miRNAs diminish protein translation by binding to 3' UTR regions of target genes with imperfect complementary pairing. Here examined a deep learning approach for miRNA target prediction.

引用

页码：1819 / 1822

页数：4

共 50 条

[21] A Novel Approach for Marine Small Target Detection Based on Deep Learning
Pan, Meiyan
Chen, Jianjun
Wang, Shengli
Dong, Ziwei
2019 IEEE 4TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP 2019), 2019, : 395 - 399
[22] A novel approach for early prediction of sudden cardiac death (SCD) using hybrid deep learning
Kaspal, Rabin
Alsadoon, Abeer
Prasad, P. W. C.
Al-Saiyd, Nedhal A.
Nguyen, Tran Quoc Vinh
Pham, Duong Thu Hang
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (05) : 8063 - 8090
[23] A novel approach for early prediction of sudden cardiac death (SCD) using hybrid deep learning
Rabin Kaspal
Abeer Alsadoon
P. W. C. Prasad
Nedhal A. Al-Saiyd
Tran Quoc Vinh Nguyen
Duong Thu Hang Pham
Multimedia Tools and Applications, 2021, 80 : 8063 - 8090
[24] Novel Internet of Things based approach toward diabetes prediction using deep learning models
Naseem, Anum
Habib, Raja
Naz, Tabbasum
Atif, Muhammad
Arif, Muhammad
Chelloug, Samia Allaoua
FRONTIERS IN PUBLIC HEALTH, 2022, 10
[25] A novel deep learning approach for arrhythmia prediction on ECG classification using recurrent CNN with GWO
Singh P.N.
Mahapatra R.P.
International Journal of Information Technology, 2024, 16 (1) : 577 - 585
[26] Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction
Sedaghat, Nafiseh
Fathy, Mahmood
Modarressi, Mohammad Hossein
Shojaie, Ali
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 15 (05) : 1594 - 1604
[27] DP-miRNA: An Improved Prediction of precursor microRNA using Deep Learning Model
Thomas, Jaya
Thomas, Sonia
Sael, Lee
2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP), 2017, : 96 - 99
[28] Using network context as a filter for miRNA target prediction
Sualp, M.
Can, T.
BIOSYSTEMS, 2011, 105 (03) : 201 - 209
[29] NOVEL DEEP LEARNING COMPUTER VISION APPROACH FOR DRUG SENSITIVITY PREDICTION
Sanford, Tom
Railkar, Reema
Harmon, Stephanie
Xu, Sheng
Wood, Brad
Choyke, Peter
Turkbey, Baris
Agarwal, Piyush
JOURNAL OF UROLOGY, 2019, 201 (04): : E814 - E814
[30] A new approach of ECG steganography and prediction using deep learning
Banerjee, Soumyendu
Singh, Girish Kumar
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2021, 64

← 1 2 3 4 5 →