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Scientific Reports|March 3, 2025
Novel AI-powered computational method using tensor decomposition for identification of common optimal bin sizes when integrating multiple Hi-C datasetsY-H Taguchi, Turki TurkiScientific Reports|November 3, 2024
Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray imagesMansour Almutaani, Turki Turki, Y-H TaguchiFrontiers in Genetics|September 25, 2020
Universal Nature of Drug Treatment Responses in Drug-Tissue-Wide Model-Animal Experiments Using Tensor Decomposition-Based Unsupervised Feature ExtractionYh Taguchi, Turki TurkiBMC Genomics|November 16, 2014
MaxSSmap: a GPU program for mapping divergent short reads to genomes with the maximum scoring subsequenceTurki Turki, Usman RoshanAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Learning approaches to improve prediction of drug sensitivity in breast cancer patientsTurki Turki, Zhi WeiEuropean Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|February 6, 2021
Novel method for the prediction of drug-drug Interaction based on gene expression profilesYh Taguchi, Turki TurkiBMC Systems Biology|October 7, 2017
A link prediction approach to cancer drug sensitivity predictionTurki Turki, Zhi WeiComputers in Biology and Medicine|September 15, 2018
Boosting support vector machines for cancer discrimination tasksTurki Turki, Zhi WeiScientific Reports|February 23, 2024
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networksSumaya Alghamdi, Turki TurkiPageof 10