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Scientific 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 TurkiDiagnostics (Basel, Switzerland)|May 27, 2023
Applying Deep Transfer Learning to Assess the Impact of Imaging Modalities on Colon Cancer DetectionWael Alhazmi, Turki TurkiComputers in Biology and Medicine|February 18, 2019
Clinical intelligence: New machine learning techniques for predicting clinical drug responseTurki Turki, Jason T L WangJournal of Bioinformatics and Computational Biology|June 28, 2018
A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity predictionTurki Turki, Zhi Wei, Jason T L WangBMC Bioinformatics|February 6, 2019
Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale dataY-H TaguchiPlos One|July 19, 2018
Correction: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processingY-H TaguchiEvolutionary Bioinformatics Online|March 18, 2015
Apparent microRNA-Target-specific Histone Modification in Mammalian SpermatogenesisY-H TaguchiAging and Disease|November 28, 2012
Inference of Target Gene Regulation via miRNAs during Cell Senescence by Using the MiRaGE ServerY-H TaguchiBMC Bioinformatics|December 19, 2015
Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineageY-h TaguchiScientific Reports|March 10, 2017
Principal Components Analysis Based Unsupervised Feature Extraction Applied to Gene Expression Analysis of Blood from Dengue Haemorrhagic Fever PatientsY-H TaguchiPageof 11