Turki Turki

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 30

Top Topics

Mathematical Formulation

Unsupervised Methods

Reverse Engineering

Tensor Decomposition

Top Venues

Comput. Biol. Medicine

Publications

Turki Turki, Sanjiban Sekhar Roy, Y-h. Taguchi
Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles. Algorithms 16 (9) (2023)
Y-h. Taguchi, Turki Turki
Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. Frontiers Artif. Intell. 6 (2023)
Turki Turki, Y-h. Taguchi
GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus. Eng. Appl. Artif. Intell. 124 (2023)
Turki Turki, Anmar Al-Sharif, Y-h. Taguchi
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images. IDEAL (2021)
Xiang Lin, Jie Zhang, Zhi Wei, Turki Turki
An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data. IEEE Access 9 (2021)
Turki Turki, Y-h. Taguchi
Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application. Comput. Biol. Medicine 132 (2021)
Y-h. Taguchi, Turki Turki
Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction. Knowl. Based Syst. 217 (2021)
Y-h. Taguchi, Turki Turki
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. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Zhihang Hu, Turki Turki, Jason T. L. Wang
Generative Adversarial Networks for Stochastic Video Prediction With Action Control. IEEE Access 8 (2020)
Turki Turki, Y-h. Taguchi
SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases. Comput. Biol. Medicine 118 (2020)
Turki Turki, Y-h. Taguchi
Machine learning algorithms for predicting drugs-tissues relationships. Expert Syst. Appl. 127 (2019)
Turki Turki, Jason T. L. Wang
Clinical intelligence: New machine learning techniques for predicting clinical drug response. Comput. Biol. Medicine 107 (2019)
Haodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang
Reverse Engineering Gene Regulatory Networks Using Graph Mining. MLDM (1) (2018)
Haodi Jiang, Turki Turki, Jason T. L. Wang
DLGraph: Malware Detection Using Deep Learning and Graph Embedding. ICMLA (2018)
Turki Turki, Zhi Wei
Boosting support vector machines for cancer discrimination tasks. Comput. Biol. Medicine 101 (2018)
Turki Turki, Zhi Wei, Jason T. L. Wang
A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction. J. Bioinform. Comput. Biol. 16 (3) (2018)
Zhihang Hu, Turki Turki, NhatHai Phan, Jason T. L. Wang
A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction. IEEE Access 6 (2018)
Turki Turki
An empirical study of machine learning algorithms for cancer identification. ICNSC (2018)
Yasser Abduallah, Turki Turki, Kevin Byron, Zongxuan Du, Miguel Cervantes-Cervantes, Jason T. L. Wang
MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach. CoRR (2017)
Haodi Jiang, Turki Turki, Jason T. L. Wang
Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. ICMLA (2017)
Turki Turki, Jason Tsong-Li Wang
Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques. MLDM (2017)
Turki Turki, Zhi Wei, Jason T. L. Wang
Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access 5 (2017)
Turki Turki, Zhi Wei
A link prediction approach to cancer drug sensitivity prediction. BMC Syst. Biol. 11 (S-5) (2017)
Turki Turki, Zhi Wei
A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction. CoRR (2016)
Turki Turki, William Bassett, Jason T. L. Wang
A Learning Framework to Improve Unsupervised Gene Network Inference. MLDM (2016)
Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan
Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. ICMLA (2016)
Turki Turki, Zhi Wei
A greedy-based oversampling approach to improve the prediction of mortality in MERS patients. SysCon (2016)
Turki Turki, Zhi Wei
Learning approaches to improve prediction of drug sensitivity in breast cancer patients. EMBC (2016)
Turki Turki, Jason T. L. Wang
A New Approach to Link Prediction in Gene Regulatory Networks. IDEAL (2015)
Turki Turki, Zhi Wei
IPRed: Instance Reduction Algorithm Based on the Percentile of the Partitions. MAICS (2015)
Turki Turki, Usman Roshan
Weighted Maximum Variance Dimensionality Reduction. MCPR (2014)
Turki Turki, Muhammad Ihsan, Nouf Turki, Jie Zhang, Usman Roshan, Zhi Wei
Top-k Parametrized Boost. MIKE (2014)