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Turki Turki
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2020 – today
- 2023
- [j16]Turki Turki
, Sanjiban Sekhar Roy
Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles. Algorithms 16(9): 401 (2023) - [j15]Turki Turki
GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus. Eng. Appl. Artif. Intell. 124: 106607 (2023) - [j14]Y-h. Taguchi
Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. Frontiers Artif. Intell. 6 (2023) - 2021
- [j13]Xiang Lin
An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data. IEEE Access 9: 100029-100039 (2021) - [j12]Turki Turki
Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application. Comput. Biol. Medicine 132: 104257 (2021) - [j11]Y-h. Taguchi
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): 746-758 (2021) - [j10]Y-h. Taguchi
Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction. Knowl. Based Syst. 217: 106834 (2021) - [c14]Turki Turki
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images. IDEAL 2021: 343-353 - 2020
- [j9]Zhihang Hu
Generative Adversarial Networks for Stochastic Video Prediction With Action Control. IEEE Access 8: 63336-63348 (2020) - [j8]Turki Turki
SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases. Comput. Biol. Medicine 118: 103656 (2020)
2010 – 2019
- 2019
- [j7]Turki Turki
Clinical intelligence: New machine learning techniques for predicting clinical drug response. Comput. Biol. Medicine 107: 302-322 (2019) - [j6]Turki Turki
Machine learning algorithms for predicting drugs-tissues relationships. Expert Syst. Appl. 127: 167-186 (2019) - 2018
- [j5]Zhihang Hu, Turki Turki
A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction. IEEE Access 6: 43450-43459 (2018) - [j4]Turki Turki
Boosting support vector machines for cancer discrimination tasks. Comput. Biol. Medicine 101: 236-249 (2018) - [j3]Turki Turki
A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction. J. Bioinform. Comput. Biol. 16(3): 1840014:1-1840014:31 (2018) - [c13]Haodi Jiang, Turki Turki
DLGraph: Malware Detection Using Deep Learning and Graph Embedding. ICMLA 2018: 1029-1033 - [c12]Turki Turki
An empirical study of machine learning algorithms for cancer identification. ICNSC 2018: 1-5 - [c11]Haodi Jiang, Turki Turki
Reverse Engineering Gene Regulatory Networks Using Graph Mining. MLDM (1) 2018: 335-349 - 2017
- [j2]Turki Turki
Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access 5: 7381-7393 (2017) - [j1]Turki Turki
A link prediction approach to cancer drug sensitivity prediction. BMC Syst. Biol. 11(S-5): 94:1-94:14 (2017) - [c10]Haodi Jiang, Turki Turki
Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. ICMLA 2017: 761-764 - [c9]Turki Turki
Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques. MLDM 2017: 63-77 - [i2]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 abs/1704.06548 (2017) - 2016
- [c8]Turki Turki
Learning approaches to improve prediction of drug sensitivity in breast cancer patients. EMBC 2016: 3314-3320 - [c7]Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan:
Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. ICMLA 2016: 140-145 - [c6]Turki Turki
A Learning Framework to Improve Unsupervised Gene Network Inference. MLDM 2016: 28-42 - [c5]Turki Turki
A greedy-based oversampling approach to improve the prediction of mortality in MERS patients. SysCon 2016: 1-5 - [i1]Turki Turki, Zhi Wei:
A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction. CoRR abs/1612.00525 (2016) - 2015
- [c4]Turki Turki
A New Approach to Link Prediction in Gene Regulatory Networks. IDEAL 2015: 404-415 - [c3]Turki Turki, Zhi Wei:
IPRed: Instance Reduction Algorithm Based on the Percentile of the Partitions. MAICS 2015: 181-185 - 2014
- [c2]Turki Turki
Weighted Maximum Variance Dimensionality Reduction. MCPR 2014: 11-20 - [c1]Turki Turki, Muhammad Ihsan, Nouf Turki, Jie Zhang, Usman Roshan, Zhi Wei:
Top-k Parametrized Boost. MIKE 2014: 91-98
Coauthor Index
aka: Jason T. L. Wang
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