Hilal Tayara

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Encoding Scheme

Feature Representations

Top Venues

Comput. Biol. Medicine

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Bilal Ahmad Mir, Hilal Tayara, Kil To Chong
SB-Net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis. Comput. Biol. Chem. 112 (2024)
Saima Gaffar, Hilal Tayara, Kil To Chong
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework. Comput. Biol. Medicine 174 (2024)
Saima Gaffar, Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy. Comput. Biol. Medicine 168 (2024)
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation. Comput. Biol. Medicine 178 (2024)
Waleed Alam, Hilal Tayara, Kil To Chong
Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks. Comput. Biol. Medicine 170 (2024)
Sadik Bhattarai, Hilal Tayara, Kil To Chong
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI Models. J. Chem. Inf. Model. 64 (13) (2024)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
AMPred-CNN: Ames mutagenicity prediction model based on convolutional neural networks. Comput. Biol. Medicine 176 (2024)
Palistha Shrestha, Jeevan Kandel, Hilal Tayara, Kil To Chong
DL-SPhos: Prediction of serine phosphorylation sites using transformer language model. Comput. Biol. Medicine 169 (2024)
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
An integrative machine learning model for the identification of tumor T-cell antigens. Biosyst. 237 (2024)
Maryam, Mobeen Ur Rehman, Irfan Hussain, Hilal Tayara, Kil To Chong
A graph neural network approach for predicting drug susceptibility in the human microbiome. Comput. Biol. Medicine 179 (2024)
Jeevan Kandel, Palistha Shrestha, Hilal Tayara, Kil To Chong
PUResNetV2.0: a deep learning model leveraging sparse representation for improved ligand binding site prediction. J. Cheminformatics 16 (1) (2024)
Thi Tuyet Van Tran, Agung Surya Wibowo, Hilal Tayara, Kil To Chong
Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives. J. Chem. Inf. Model. 63 (9) (2023)
Sehi Park, Mobeen Ur Rehman, Farman Ullah, Hilal Tayara, Kil To Chong
iCpG-Pos: an accurate computational approach for identification of CpG sites using positional features on single-cell whole genome sequence data. Bioinform. 39 (8) (2023)
Prem Singh Bist, Hilal Tayara, Kil To Chong
Sars-escape network for escape prediction of SARS-COV-2. Briefings Bioinform. 24 (3) (2023)
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Drug Absorption. J. Chem. Inf. Model. 63 (20) (2023)
Zeeshan Abbas, Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
ORI-Explorer: a unified cell-specific tool for origin of replication sites prediction by feature fusion. Bioinform. 39 (10) (2023)
Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Priyash Dhakal, Hilal Tayara, Kil To Chong
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactions. Comput. Biol. Medicine 164 (2023)
Zeeshan Abbas, Hilal Tayara, Kil To Chong
ZayyuNet - A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Syed Danish Ali, Waleed Alam, Hilal Tayara, Kil To Chong
Identification of Functional piRNAs Using a Convolutional Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Mobeen Ur Rehman, Hilal Tayara, Quan Zou, Kil To Chong
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites. Bioinform. 38 (16) (2022)
Syed Danish Ali, Hilal Tayara, Kil To Chong
Interpretable machine learning identification of arginine methylation sites. Comput. Biol. Medicine 147 (2022)
Prem Singh Bist, Hilal Tayara, Kil To Chong
Identification Of Sars-cov-2 Viral Escape Sequences Using Escapetrans Network. ICTC (2022)
Jhabindra Khanal, Hilal Tayara, Quan Zou, Kil To Chong
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network. Briefings Bioinform. 23 (1) (2022)
Jeevan Kandel, Hilal Tayara, Kil To Chong
PUResNet: prediction of protein-ligand binding sites using deep residual neural network. J. Cheminformatics 13 (1) (2021)
Arslan Siraj, Tuvshinbayar Chantsalnyam, Hilal Tayara, Kil To Chong
RecSNO: Prediction of Protein S-Nitrosylation Sites Using a Recurrent Neural Network. IEEE Access 9 (2021)
Syed Danish Ali, Jee Hong Kim, Hilal Tayara, Kil To Chong
Prediction of RNA 5-Hydroxymethylcytosine Modifications Using Deep Learning. IEEE Access 9 (2021)
Mobeen Ur Rehman, Kim Jee Hong, Hilal Tayara, Kil To Chong
m6A-NeuralTool: Convolution Neural Tool for RNA N6-Methyladenosine Site Identification in Different Species. IEEE Access 9 (2021)
Hilal Tayara, Ibrahim Abdelbaky, Kil To Chong
Recent omics-based computational methods for COVID-19 drug discovery and repurposing. Briefings Bioinform. 22 (6) (2021)
Hilal Tayara, Kil To Chong
Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Muhammad Shujaat, Seung Beop Lee, Hilal Tayara, Kil To Chong
Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters. IEEE Access 9 (2021)
Jhabindra Khanal, Hilal Tayara, Kil To Chong
Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network. IEEE Access 8 (2020)
Waleed Alam, Syed Danish Ali, Hilal Tayara, Kil To Chong
A CNN-Based RNA N6-Methyladenosine Site Predictor for Multiple Species Using Heterogeneous Features Representation. IEEE Access 8 (2020)
Zeeshan Abbas, Hilal Tayara, Kil To Chong
SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes. IEEE Access 8 (2020)
Tuvshinbayar Chantsalnyam, Dae Yeong Lim, Hilal Tayara, Kil To Chong
ncRDeep: Non-coding RNA classification with convolutional neural network. Comput. Biol. Chem. 88 (2020)
Iman Nazari, Hilal Tayara, Kil To Chong
Branch Point Selection in RNA Splicing Using Deep Learning. IEEE Access 7 (2019)
Abdul Wahab, Syed Danish Ali, Hilal Tayara, Kil To Chong
iIM-CNN: Intelligent Identifier of 6mA Sites on Different Species by Using Convolution Neural Network. IEEE Access 7 (2019)
Jhabindra Khanal, Iman Nazari, Hilal Tayara, Kil To Chong
4mCCNN: Identification of N4-Methylcytosine Sites in Prokaryotes Using Convolutional Neural Network. IEEE Access 7 (2019)
Hilal Tayara, Kil To Chong
Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network. Sensors 18 (10) (2018)
Hilal Tayara, Kim Gil Soo, Kil To Chong
Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network. IEEE Access 6 (2018)
Mhaned Oubounyt, Zakaria Louadi, Hilal Tayara, Kil To Chong
Deep Learning Models Based on Distributed Feature Representations for Alternative Splicing Prediction. IEEE Access 6 (2018)
Hilal Tayara, Woon Chul Ham, Kil To Chong
A Real-Time Marker-Based Visual Sensor Based on a FPGA and a Soft Core Processor. Sensors 16 (12) (2016)