Turki Turki - RankMe

33 papers C 5Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction. BMC Bioinform. Y-h. Taguchi, Turki Turki
2023	J	`jnl`	Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. Frontiers Artif. Intell. Y-h. Taguchi, Turki Turki
2023	J	`jnl`	GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus. Eng. Appl. Artif. Intell. Turki Turki, Y-h. Taguchi
2023	J	`jnl`	Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles. Algorithms Turki Turki, Sanjiban Sekhar Roy, Y-h. Taguchi
2021	J	`jnl`	An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data. IEEE Access Xiang Lin, Jie Zhang, Zhi Wei, Turki Turki
2021	J	`jnl`	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. Y-h. Taguchi, Turki Turki
2021	J	`jnl`	Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application. Comput. Biol. Medicine Turki Turki, Y-h. Taguchi
2021	C	`conf`	End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images. IDEAL Turki Turki, Anmar Al-Sharif, Y-h. Taguchi
2021	J	`jnl`	Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction. Knowl. Based Syst. Y-h. Taguchi, Turki Turki
2020	J	`jnl`	Generative Adversarial Networks for Stochastic Video Prediction With Action Control. IEEE Access Zhihang Hu, Turki Turki, Jason T. L. Wang
2020	J	`jnl`	SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases. Comput. Biol. Medicine Turki Turki, Y-h. Taguchi
2019	J	`jnl`	Clinical intelligence: New machine learning techniques for predicting clinical drug response. Comput. Biol. Medicine Turki Turki, Jason T. L. Wang
2019	J	`jnl`	Machine learning algorithms for predicting drugs-tissues relationships. Expert Syst. Appl. Turki Turki, Y-h. Taguchi
2018	J	`jnl`	A 3D Atrous Convolutional Long Short-Term Memory Network for Background Subtraction. IEEE Access Zhihang Hu, Turki Turki, NhatHai Phan, Jason T. L. Wang
2018	J	`jnl`	A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction. J. Bioinform. Comput. Biol. Turki Turki, Zhi Wei, Jason T. L. Wang
2018	—	`conf`	An empirical study of machine learning algorithms for cancer identification. ICNSC Turki Turki
2018	J	`jnl`	Boosting support vector machines for cancer discrimination tasks. Comput. Biol. Medicine Turki Turki, Zhi Wei
2018	C	`conf`	DLGraph: Malware Detection Using Deep Learning and Graph Embedding. ICMLA Haodi Jiang, Turki Turki, Jason T. L. Wang
2018	—	`conf`	Reverse Engineering Gene Regulatory Networks Using Graph Mining. MLDM (1) Haodi Jiang, Turki Turki, Sen Zhang, Jason T. L. Wang
2017	J	`jnl`	A link prediction approach to cancer drug sensitivity prediction. BMC Syst. Biol. Turki Turki, Zhi Wei
2017	J	`jnl`	MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach. CoRR Yasser Abduallah, Turki Turki, Kevin Byron, Zongxuan Du, Miguel Cervantes-Cervantes, Jason T. L. Wang
2017	—	`conf`	Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques. MLDM Turki Turki, Jason Tsong-Li Wang
2017	C	`conf`	Reverse Engineering Regulatory Networks in Cells Using a Dynamic Bayesian Network and Mutual Information Scoring Function. ICMLA Haodi Jiang, Turki Turki, Jason T. L. Wang
2017	J	`jnl`	Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access Turki Turki, Zhi Wei, Jason T. L. Wang
2016	—	`conf`	A Learning Framework to Improve Unsupervised Gene Network Inference. MLDM Turki Turki, William Bassett, Jason T. L. Wang
2016	J	`jnl`	A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction. CoRR Turki Turki, Zhi Wei
2016	—	`conf`	A greedy-based oversampling approach to improve the prediction of mortality in MERS patients. SysCon Turki Turki, Zhi Wei
2016	C	`conf`	Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. ICMLA Turki Turki, Jason T. L. Wang, Ibrahim Rajikhan
2016	—	`conf`	Learning approaches to improve prediction of drug sensitivity in breast cancer patients. EMBC Turki Turki, Zhi Wei
2015	C	`conf`	A New Approach to Link Prediction in Gene Regulatory Networks. IDEAL Turki Turki, Jason T. L. Wang
2015	—	`conf`	IPRed: Instance Reduction Algorithm Based on the Percentile of the Partitions. MAICS Turki Turki, Zhi Wei
2014	—	`conf`	Top-k Parametrized Boost. MIKE Turki Turki, Muhammad Ihsan, Nouf Turki, Jie Zhang, Usman Roshan, Zhi Wei
2014	—	`conf`	Weighted Maximum Variance Dimensionality Reduction. MCPR Turki Turki, Usman Roshan