K. Chong

发表

DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine

Z. Xuan, Abdul Wahab, Hilal Tayara, 2021, Scientific Reports.

Automatic Vowel Onset Point Detection Based on Auditory Frequency Response

K. Chong, Xian Zang, Hag-Tae Kim, 2012 .

Quadrotor Obstacle Avoidance Based on Integral Backstepping

Young Baik Kim, K. Chong, Lianchuan Zhang, 2016 .

DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning

Abdul Wahab, K. Chong, Omid Mahmoudi, 2020, Cells.

pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters

Abdul Wahab, Hilal Tayara, K. Chong, 2020, Genes.

iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks

Hilal Tayara, K. Chong, Muhammad Tahir, 2019, Molecular therapy. Nucleic acids.

Embedding Global Optimization and Kernelization into Fuzzy C-Means Clustering for Consonant/Vowel Segmentation

K. Chong, Xian Zang, 2013 .

Identification of prokaryotic promoters and their strength by integrating heterogeneous features.

Kil To Chong, Hilal Tayara, Muhammad Tahir, 2020, Genomics.

An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors

Hilal Tayara, K. Chong, Keerthana Jaganathan, 2022, Pharmaceutics.

A simulation of low cost GPS/INS integration using Extended Kalman filter

Deok Jin Lee, Kil To Chong, Ganduulga Gankhuyag, 2014 .

Carotid Artery Plaque Identification and Display System (MRI-CAPIDS) Using Opensource Tools

Felipe P. Vista, M. T. Ngo, Felipe P Vista, 2020, Diagnostics.

Target Tracking in Sensor Networks Using Additive Divided Difference Information Filtering Method

D. Hong, K. Chong, D. Lee, 2013 .

Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets

Hilal Tayara, K. Chong, I. Abdelbaky, 2021, Scientific reports.

Estimation of the angular position of the shaft of a DC motor using Kalman Filter

Kil To Chong, Ansu Man Singh, Deok Jin Lee, 2012 .

An Effective Deep Learning-Based Architecture for Prediction of N7-Methylguanosine Sites in Health Systems

K. Chong, Muhammad Tahir, Maqsood Hayat, 2022, Electronics.

ProB-Site: Protein Binding Site Prediction Using Local Features

Sharzil Haris Khan, Hilal Tayara, K. Chong, 2022, Cells.

Marker-Based Visual Sensor System using OpenCV

Deok Jin Lee, Kil To Chong, Hilal Tayara, 2013 .

Mobile Robot Obstacle Avoidance Techniques

Sung Ho Park, Bayanjargal Baasandorj, Aamir Reyaz, 2014 .

Analysis of Bending Degree of Basilar Artery Using Image Processing

Hilal Tayara, K. Chong, Jeehong Kim, 2022, Diagnostics.

CSatDTA: Prediction of Drug–Target Binding Affinity Using Convolution Model with Self-Attention

Hilal Tayara, K. Chong, Ashutosh Ghimire, 2022, International journal of molecular sciences.

DNA6mA-MINT: DNA-6mA Modiﬁcation Identiﬁcation Neural Tool

K. Chong, M. Rehman, 2020 .

ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer Peptides

Hilal Tayara, K. Chong, Sadik Bhattarai, 2022, International journal of molecular sciences.

ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural Networks

Hilal Tayara, K. Chong, Zeeshan Abbas, 2022, International journal of molecular sciences.

Mobile sensor Networks and Robotics

Aamir Reyaz, Kil To Chong, K. Chong, 2014 .

CapsNh-Kcr: Capsule network-based prediction of lysine crotonylation sites in human non-histone proteins

Hilal Tayara, K. Chong, Jhabindra Khanal, 2022, Computational and structural biotechnology journal.

RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames

K. Chong, I. Nizami, M. Rehman, 2023, Comput. Biol. Medicine.

Autonomous Mobile Robot Navigation Using Harmonic Potential Field

Bayanjargal Baasandorj, Kil To Chong, Subbash Panati, 2015 .

A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control

Bayanjargal Baasandorj, Aamir Reyaz, Deok Jin Lee, 2014 .

iEnhancer-Deep: A Computational Predictor for Enhancer Sites and Their Strength Using Deep Learning

Hilal Tayara, K. Chong, Muhammad Tahir, 2022, Applied Sciences.

DeePromoter: Robust Promoter Predictor Using Deep Learning

Kil To Chong, Hilal Tayara, Mhaned Oubounyt, 2019, Front. Genet..

Identification of miRNA-Small Molecule Associations by Continuous Feature Representation Using Auto-Encoders

Hilal Tayara, K. Chong, I. Abdelbaky, 2021, Pharmaceutics.

DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species

Hilal Tayara, K. Chong, M. Rehman, 2021, Computational and structural biotechnology journal.

iRG-4mC: Neural Network Based Tool for Identification of DNA 4mC Sites in Rosaceae Genome

Kil To Chong, Dae Yeong Lim, Mobeen Ur Rehman, 2021, Symmetry.

Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation

Q. Zou, Hilal Tayara, K. Chong, 2021, Computational and structural biotechnology journal.

iEnhancer-RF: Identifying enhancers and their strength by enhanced feature representation using random forest

Kil To Chong, Hilal Tayara, Jhabindra Khanal, 2021 .

Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep Learning

Hilal Tayara, Kil Chong, Hilal Tayara, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC

Kil To Chong, Hilal Tayara, Muhammad Tahir, 2019, Chemometrics and Intelligent Laboratory Systems.

ncRDeep: Non-coding RNA classification with convolutional neural network

Kil To Chong, Hilal Tayara, Dae Yeong Lim, 2020, Comput. Biol. Chem..

Identification of piRNA disease associations using deep learning

Hilal Tayara, K. Chong, Syed Danish Ali, 2022, Computational and structural biotechnology journal.

ncRDense: A novel computational approach for classification of non-coding RNA family by deep learning.

Hilal Tayara, K. Chong, A. Siraj, 2021, Genomics.

4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network

Hilal Tayara, K. Chong, Zeeshan Abbas, 2021, Genes.

XG-ac4C: identification of N4-acetylcytidine (ac4C) in mRNA using eXtreme gradient boosting with electron-ion interaction pseudopotentials

Kil To Chong, Hilal Tayara, Waleed Alam, 2020, Scientific Reports.

TC-6mA-Pred: Prediction of DNA N6-Methyladenine Sites Using CNN with Transformer

K. Chong, Zeeshan Abbas, M. Rehman, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule

Kil To Chong, Hilal Tayara, Muhammad Tahir, 2019, Chemometrics and Intelligent Laboratory Systems.

Identification of Functional piRNAs Using a Convolutional Neural Network

Syed Danish Ali, Hilal Tayara, Waleed Alam, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Branch Point Selection in RNA Splicing Using Deep Learning

Kil To Chong, Hilal Tayara, Iman Nazari, 2019, IEEE Access.

Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters

Kil To Chong, Hilal Tayara, Muhammad Shujaat, 2021, IEEE Access.

Deep Splicing Code: Classifying Alternative Splicing Events Using Deep Learning

Kil To Chong, Hilal Tayara, Mhaned Oubounyt, 2019, Genes.

Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network

Kil to Chong, Maqsood Hayat, Muhammad Tahir, 2021, IEEE Access.

Identification of Human RNA m5C sites using CapsuleNet Architecture

K. Chong, Zeeshan Abbas, M. Rehman, 2022, IEEE International Conference on Bioinformatics and Biomedicine.

Recent omics-based computational methods for COVID-19 drug discovery and repurposing

Hilal Tayara, K. Chong, I. Abdelbaky, 2021, Briefings Bioinform..

i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites

Q. Zou, Hilal Tayara, K. Chong, 2022, Bioinform..

DNA6mA-MINT: DNA-6mA Modification Identification Neural Tool

Kil To Chong, Mobeen Ur Rehman, K. Chong, 2020, Genes.

Intelligent and robust computational prediction model for DNA N4-methylcytosine sites via natural language processing

Kil To Chong, Hilal Tayara, Maqsood Hayat, 2021 .

4mCCNN: Identification of N4-Methylcytosine Sites in Prokaryotes Using Convolutional Neural Network

Kil To Chong, Hilal Tayara, Iman Nazari, 2019, IEEE Access.

Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional Networks

Hilal Tayara, K. Chong, Mapopa Chipofya, 2021, Pharmaceutics.

iRNA-PseKNC(2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components.

Kil To Chong, Hilal Tayara, Muhammad Tahir, 2019, Journal of theoretical biology.

UbiComb: A Hybrid Deep Learning Model for Predicting Plant-Specific Protein Ubiquitylation Sites

Dae Yeong Lim, Hilal Tayara, K. Chong, 2021, Genes.

A CNN-Based RNA N6-Methyladenosine Site Predictor for Multiple Species Using Heterogeneous Features Representation

Syed Danish Ali, Hilal Tayara, Kil to Chong, 2020, IEEE Access.

Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations

Kil To Chong, Maqsood Hayat, Muhammad Tahir, 2020, Neural Networks.

Alzheimer's disease prediction based on continuous feature representation using multi-omics data integration

Hilal Tayara, K. Chong, Zeeshan Abbas, 2022, Chemometrics and Intelligent Laboratory Systems.

i6mA-DNC: Prediction of DNA N6-Methyladenosine sites in rice genome based on dinucleotide representation using deep learning

Kil To Chong, Abdul Wahab, Iman Nazari, 2020 .

Early and accurate detection and diagnosis of heart disease using intelligent computational model

Kil To Chong, Muhammad Tahir, Maqsood Hayat, 2020, Scientific Reports.

Design of a Neural Network PI Controller for F/M of Heavy Water Reactor Actuator Pressure

Kil To Chong, Young-Chul Kim, Chang Goo Lee, 2012 .

Liquid–Liquid Phase Separation in the Presence of Macromolecular Crowding and State-dependent Kinetics

K. Chong, Chulgyu Song, A. Vweza, 2021, International journal of molecular sciences.

i4mC-NN: Identification of 4mC sites in Rosaceae Genome Using Neural Network Architecture With Multiple Encoding Schemes

K. Chong, M. Rehman, 2022, International Conference on Control, Automation and Systems.

BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network

K. Chong, M. Rehman, Jeehong Kim, 2021, Diagnostics.

BU-Net: Brain Tumor Segmentation Using Modified U-Net Architecture

K. Chong, M. Rehman, Jeehong Kim, 2020, Electronics.

Non-intrusive RF sensing for early diagnosis of spinal curvature syndrome disorders

Shujaat Ali Khan Tanoli, K. Chong, Farman Ullah, 2023, Comput. Biol. Medicine.

cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach

Kil To Chong, Shahid Akbar, Maqsood Hayat, 2020, IEEE Access.

kDeepBind: Prediction of RNA-Proteins binding sites using convolution neural network and k-gram features

Kil To Chong, Hilal Tayara, Muhammad Tahir, 2021 .

Assessing the deformity of cleft lip nose based on neural network

Wang Xi, Felipe Vista, Deok Won Kim, 2010 .

Design of an EKF-CI based sensor fusion for robust heading estimation of marine vehicle

Kil To Chong, Deok-Jin Lee, Felipe P. Vista, 2015 .

PUResNet: prediction of protein-ligand binding sites using deep residual neural network

Kil To Chong, Hilal Tayara, Jeevan Kandel, 2021, Journal of Cheminformatics.

Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction

Hilal Tayara, K. Chong, Thi Tuyet Van Tran, 2023, International journal of molecular sciences.

A deep learning-based computational approach for discrimination of DNA N6-methyladenosine sites by fusing heterogeneous features

Kil To Chong, Muhammad Tahir, Maqsood Hayat, 2020 .

An intelligent computational model for prediction of promoters and their strength via natural language processing

Kil To Chong, Muhammad Tahir, Muhammad Tahir, 2020 .

4mCPred-Caps: Identification of DNA N4-methylcytosine sites using CapsuleNet

K. Chong, Zeeshan Abbas, 2022, International Conference on Control, Automation and Systems.

SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes

Hilal Tayara, Kil to Chong, Zeeshan Abbas, 2020, IEEE Access.

System Design, Development & Deployment Using Rapid By-Customer Demand With Business Principles Approach

Kil To Chong, Felipe P. Vista, Felipe P Vista, 2013, Malaysian Journal of Computer Science.

Gradient-free numerical optimization-based extremum seeking control for multiagent systems

Deok Jin Lee, Kil To Chong, Alick Onesimus Vweza, 2015 .

Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives

Hilal Tayara, K. Chong, Thi Tuyet Van Tran, 2023, J. Chem. Inf. Model..

Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network

Kil To Chong, Hilal Tayara, Kim Gil Soo, 2018, IEEE Access.

Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal

K. Chong, Xian Zang, IV FelipeP.Vista, 2014, Journal of Zhejiang University SCIENCE C.

Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets

Hilal Tayara, K. Chong, Keerthana Jaganathan, 2021, International journal of molecular sciences.

Design, Development, and Deployment of Real-Time Sensor Fusion (CnW + EKF) for a Linux-Based Embedded System Using Qt-Anywhere

Kil To Chong, IV FelipeP.Vista, K. Chong, 2018, J. Sensors.

Design and Real-Time Implementation of a 3-Stage CnW Heading System on an Ubuntu Linux-Embedded Board

Kil To Chong, IV FelipeP.Vista, K. Chong, 2019, J. Sensors.

Development of PINN Controller for Fuel Handling System of Pressurized Heavy Water Reactors

Kil To Chong, Dae Yeong Lim, Sehi Park, 2020 .

XML-CIMT: Explainable Machine Learning (XML) Model for Predicting Chemical-Induced Mitochondrial Toxicity

Hilal Tayara, K. Chong, Keerthana Jaganathan, 2022, International journal of molecular sciences.

A Report on Multi-Target Anti-Inflammatory Properties of Phytoconstituents from Monochoria hastata (Family: Pontederiaceae)

M. Islam, Hilal Tayara, K. Chong, 2021, Molecules.

DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes

Hilal Tayara, K. Chong, M. Rehman, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

iSS-CNN: Identifying splicing sites using convolution neural network

Kil To Chong, Hilal Tayara, Muhammad Tahir, 2019, Chemometrics and Intelligent Laboratory Systems.

Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

Kil To Chong, Hilal Tayara, Hilal Tayara, 2018, Sensors.

Exact Null Controllability of KdV-Burgers Equation with Memory Effect Systems

Kil To Chong, K. Chong, Rajagounder Ravi Kumar, 2012 .

TS-m6A-DL: Tissue-specific identification of N6-methyladenosine sites using a universal deep learning model

Q. Zou, Hilal Tayara, K. Chong, 2021, Computational and structural biotechnology journal.

RecSNO: Prediction of Protein S-Nitrosylation Sites Using a Recurrent Neural Network

Kil To Chong, Hilal Tayara, Tuvshinbayar Chantsalnyam, 2021, IEEE Access.

Obstacle avoidance extremum seeking control based on constrained derivative-free optimization

Kil To Chong, Tuvshinbayar Chantsalnyam, Changhui Han, 2017 .

SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation.

K. Chong, I. Nizami, M. Rehman, 2023, Computers in biology and medicine.

Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network

Kil To Chong, Hilal Tayara, Jhabindra Khanal, 2020, IEEE Access.

Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives

Hilal Tayara, K. Chong, Thi Tuyet Van Tran, 2023, Pharmaceutics.

Successive Loop Closure Based Controller Design for an Autonomous Quadrotor Vehicle

Deok Jin Lee, Kil To Chong, Dong Pyo Hong, 2013 .

Sars-escape network for escape prediction of SARS-COV-2

Hilal Tayara, K. Chong, Prem Singh Bist, 2023, Briefings Bioinform..

An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactions

Hilal Tayara, K. Chong, Priyash Dhakal, 2023, Comput. Biol. Medicine.

XGB5hmC: Identifier based on XGB model for RNA 5-hydroxymethylcytosine detection

Hilal Tayara, K. Chong, Agung Surya Wibowo, 2023, Chemometrics and Intelligent Laboratory Systems.

Prediction of RNA 5-Hydroxymethylcytosine Modifications Using Deep Learning

Syed Danish Ali, Jee Hong Kim, Hilal Tayara, 2021, IEEE Access.

Forecasting of Power Demands Using Deep Learning

Kil To Chong, Hilal Tayara, Dae Yeong Lim, 2020, Applied Sciences.

Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal

K. Chong, Xian Zang, IV FelipeP.Vista, 2014, Journal of Zhejiang University SCIENCE C.

Deep Probabilistic Learning Model for Prediction of Ionic Liquids Toxicity

Hilal Tayara, K. Chong, Mapopa Chipofya, 2022, International journal of molecular sciences.

i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties

Hilal Tayara, K. Chong, Waleed Alam, 2021, Genes.

Software defined radio frequency sensing framework for intelligent monitoring of sleep apnea syndrome.

K. Chong, M. Rehman, N. Abuali, 2023, Methods.

iCpG-Pos: an accurate computational approach for identification of CpG sites using positional features on single-cell whole genome sequence data

Hilal Tayara, K. Chong, M. Rehman, 2023, Bioinformatics.

DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network

Q. Zou, Hilal Tayara, K. Chong, 2021, Briefings Bioinform..

Mobile Robot Motion Control Using Laguerre-Based Model Predictive Control

Deok Jin Lee, Kil To Chong, Mapopa Chipofya, 2015 .

Recent Studies of Artificial Intelligence on In Silico Drug Absorption

Hilal Tayara, K. Chong, Thi Tuyet Van Tran, 2023, J. Chem. Inf. Model..

Fast Terminal Sliding Mode Control for the Ship Steering Problem

Deok Jin Lee, Kil To Chong, Alick Onesimus Vweza, 2013 .

Dynamic Modeling and Control Techniques for Multi-Rotor Flying Robots

Deok Jin Lee, Kil To Chong, Hyeon Kim, 2014 .

Attitude Control of Quad-rotor by Improving the Reliability of Multi-Sensor System

Kil To Chong, Jong Ho Park, Ji Hyoung Ryu, 2015 .

Design of Lateral Fuzzy-PI Controller for Unmanned Quadrotor Robot

Jong-Ho Park, Deok-Jin Lee, Kil-To Chong, 2013 .

Attitude and altitude controllers for quadrotor

Ansu Man Singh, K. Chong, D. Lee, 2012 .

SEiPV-Net: An Efficient Deep Learning Framework for Autonomous Multi-Defect Segmentation in Electroluminescence Images of Solar Photovoltaic Modules

K. Chong, Y. Jang, M. Rehman, 2023, Energies.

Feasibility of the Circularly Connected Analog CNN Cell Array-Based Viterbi Decoder

Kil To Chong, Hyongsuk Kim, Hongrak Son, 2005, PaCT.

Mobile agent vision-based target tracking using particle filter

Deok Jin Lee, Kil To Chong, Alick Onesimus Vweza, 2012 .

Integrated Computational Approaches for Drug Design Targeting Cruzipain

Hilal Tayara, K. Chong, Waleed Alam, 2024, International journal of molecular sciences.

m6A-NeuralTool: Convolution Neural Tool for RNA N6-Methyladenosine Site Identification in Different Species

Hilal Tayara, Kil to Chong, Mobeen Ur Rehman, 2021, IEEE Access.

Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework.

Hilal Tayara, K. Chong, Saima Gaffar, 2024, Computers in biology and medicine.

Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks

Hilal Tayara, K. Chong, Waleed Alam, 2024, Comput. Biol. Medicine.

iPro-TCN: Prediction of DNA Promoters Recognition and Their Strength Using Temporal Convolutional Network

K. Chong, Muhammad Tahir, Waleed Alam, 2023, IEEE Access.

Design convergent Dynamic Window Approach for quadrotor navigation

Kil To Chong, Deok-Jin Lee, Ansu Man Singh, 2014 .

IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy

Hilal Tayara, K. Chong, Saima Gaffar, 2023, Comput. Biol. Medicine.

Improving Enhancer Identification with a Multi-Classifier Stacked Ensemble Model.

Hilal Tayara, K. Chong, M. Rehman, 2023, Journal of molecular biology.

In Silico Exploration of Novel EGFR Kinase Mutant-Selective Inhibitors Using a Hybrid Computational Approach

Hilal Tayara, K. Chong, M. R. Chowdhury, 2024, Pharmaceuticals.

Identification of Human Promoter using Convolutional Neural Network

Syed Danish Ali, K. Chong, 2021, 2021 International Conference on Artificial Intelligence (ICAI).

Prediction of Nucleosome Forming and Nucleosome Inhibiting DNA Sequences Using Convolutional Neural Networks

Kil To Chong, Mhaned Oubounyt, Zakaria Louadi, 2019, 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS).

Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep Learning

Kil To Chong, Hilal Tayara, Hilal Tayara, 2019, Cells.

m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications

Hilal Tayara, K. Chong, Zeeshan Abbas, 2024, Comput. Biol. Medicine.