Turki Turki

According to our database, Turki Turki authored at least 32 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction.

Y-h. Taguchi, Turki Turki

Frontiers Artif. Intell., February, 2023

GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus.

Turki Turki, Y-h. Taguchi

Eng. Appl. Artif. Intell., 2023

Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles.

Turki Turki, Sanjiban Sekhar Roy, Y-h. Taguchi

Algorithms, 2023

2021

Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction.

Y-h. Taguchi, Turki Turki

Knowl. Based Syst., 2021

Application of Tensor Decomposition to Gene Expression of Infection of Mouse Hepatitis Virus Can Identify Critical Human Genes and Efffective Drugs for SARS-CoV-2 Infection.

Y-h. Taguchi, Turki Turki

IEEE J. Sel. Top. Signal Process., 2021

Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application.

Turki Turki, Y-h. Taguchi

Comput. Biol. Medicine, 2021

An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data.

Xiang Lin, Jie Zhang, Zhi Wei, Turki Turki

IEEE Access, 2021

End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images.

Turki Turki, Anmar Al-Sharif, Y-h. Taguchi

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020

SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases.

Turki Turki, Y-h. Taguchi

Comput. Biol. Medicine, 2020

Generative Adversarial Networks for Stochastic Video Prediction With Action Control.

Zhihang Hu, Turki Turki, Jason T. L. Wang

IEEE Access, 2020

2019

Machine learning algorithms for predicting drugs-tissues relationships.

Turki Turki, Y-h. Taguchi

Expert Syst. Appl., 2019

Clinical intelligence: New machine learning techniques for predicting clinical drug response.

Turki Turki, Jason T. L. Wang

Comput. Biol. Medicine, 2019

2018

A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction.

Turki Turki, Zhi Wei, Jason T. L. Wang

J. Bioinform. Comput. Biol., 2018

Boosting support vector machines for cancer discrimination tasks.

Turki Turki, Zhi Wei

Comput. Biol. Medicine, 2018

A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction.

Zhihang Hu, Turki Turki, NhatHai Phan, Jason T. L. Wang

IEEE Access, 2018

Reverse Engineering Gene Regulatory Networks Using Graph Mining.

Haodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

An empirical study of machine learning algorithms for cancer identification.

Turki Turki

Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

DLGraph: Malware Detection Using Deep Learning and Graph Embedding.

Haodi Jiang, Turki Turki, Jason T. L. Wang

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach.

Yasser Abduallah, Turki Turki, Kevin Byron, Zongxuan Du, Miguel Cervantes-Cervantes, Jason T. L. Wang

CoRR, 2017

A link prediction approach to cancer drug sensitivity prediction.

Turki Turki, Zhi Wei

BMC Syst. Biol., 2017

Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients.

Turki Turki, Zhi Wei, Jason T. L. Wang

IEEE Access, 2017

Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques.

Turki Turki, Jason Tsong-Li Wang

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function.

Haodi Jiang, Turki Turki, Jason T. L. Wang

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction.

Turki Turki, Zhi Wei

CoRR, 2016

A greedy-based oversampling approach to improve the prediction of mortality in MERS patients.

Turki Turki, Zhi Wei

Proceedings of the Annual IEEE Systems Conference, 2016

A Learning Framework to Improve Unsupervised Gene Network Inference.

Turki Turki, William Bassett, Jason T. L. Wang

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods.

Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Learning approaches to improve prediction of drug sensitivity in breast cancer patients.

Turki Turki, Zhi Wei

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

IPRed: Instance Reduction Algorithm Based on the Percentile of the Partitions.

Turki Turki, Zhi Wei

Proceedings of the 26th Modern AI and Cognitive Science Conference 2015, 2015

A New Approach to Link Prediction in Gene Regulatory Networks.

Turki Turki, Jason T. L. Wang

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

2014

Top-k Parametrized Boost.

Turki Turki, Muhammad Ihsan, Nouf Turki, Jie Zhang, Usman Roshan, Zhi Wei

Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

Weighted Maximum Variance Dimensionality Reduction.

Turki Turki, Usman Roshan

Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014