フォロー
Hilal Tayara
Hilal Tayara
Jeonbuk National University
確認したメール アドレス: jbnu.ac.kr
タイトル
引用先
引用先
年
Vehicle detection and counting in high-resolution aerial images using convolutional regression neural network
H Tayara, KG Soo, KT Chong
Ieee Access 6, 2220-2230, 2017
1962017
DeePromoter: robust promoter predictor using deep learning
M Oubounyt, Z Louadi, H Tayara, KT Chong
Frontiers in genetics 10, 286, 2019
1692019
Object detection in very high-resolution aerial images using one-stage densely connected feature pyramid network
H Tayara, KT Chong
Sensors 18 (10), 3341, 2018
1222018
iRNA-PseKNC (2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components
M Tahir, H Tayara, KT Chong
Journal of theoretical biology 465, 1-6, 2019
1062019
PUResNet: prediction of protein-ligand binding sites using deep residual neural network
J Kandel, H Tayara, KT Chong
Journal of cheminformatics 13, 1-14, 2021
1022021
iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule
M Tahir, H Tayara, KT Chong
Chemometrics and Intelligent Laboratory Systems 189, 96-101, 2019
942019
iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC
I Nazari, M Tahir, H Tayara, KT Chong
Chemometrics and Intelligent Laboratory Systems 193, 103811, 2019
932019
Artificial intelligence in drug toxicity prediction: recent advances, challenges, and future perspectives
TTV Tran, A Surya Wibowo, H Tayara, KT Chong
Journal of chemical information and modeling 63 (9), 2628-2643, 2023
922023
iPseU-CNN: identifying RNA pseudouridine sites using convolutional neural networks
M Tahir, H Tayara, KT Chong
Molecular Therapy-Nucleic Acids 16, 463-470, 2019
812019
Branch point selection in RNA splicing using deep learning
I Nazari, H Tayara, KT Chong
Ieee Access 7, 1800-1807, 2018
642018
4mCCNN: Identification of N4-methylcytosine sites in prokaryotes using convolutional neural network
J Khanal, I Nazari, H Tayara, KT Chong
Ieee Access 7, 145455-145461, 2019
602019
A CNN-based RNA N6-methyladenosine site predictor for multiple species using heterogeneous features representation
W Alam, SD Ali, H Tayara, K to Chong
IEEE Access 8, 138203-138209, 2020
582020
Identification of prokaryotic promoters and their strength by integrating heterogeneous features
H Tayara, M Tahir, KT Chong
Genomics 112 (2), 1396-1403, 2020
542020
XG-ac4C: identification of N4-acetylcytidine (ac4C) in mRNA using eXtreme gradient boosting with electron-ion interaction pseudopotentials
W Alam, H Tayara, KT Chong
Scientific reports 10 (1), 20942, 2020
522020
Identifying enhancers and their strength by the integration of word embedding and convolution neural network
J Khanal, H Tayara, KT Chong
Ieee Access 8, 58369-58376, 2020
502020
pcPromoter-CNN: a CNN-based prediction and classification of promoters
M Shujaat, A Wahab, H Tayara, KT Chong
Genes 11 (12), 1529, 2020
452020
DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine
A Wahab, H Tayara, Z Xuan, KT Chong
Scientific reports 11 (1), 212, 2021
442021
Spinenet-6ma: A novel deep learning tool for predicting dna n6-methyladenine sites in genomes
Z Abbas, H Tayara, K to Chong
IEEE Access 8, 201450-201457, 2020
422020
ncRDeep: Non-coding RNA classification with convolutional neural network
T Chantsalnyam, DY Lim, H Tayara, KT Chong
Computational Biology and Chemistry 88, 107364, 2020
412020
Deep splicing code: Classifying alternative splicing events using deep learning
Z Louadi, M Oubounyt, H Tayara, KT Chong
Genes 10 (8), 587, 2019
412019
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